If you’ve just got your hands on the CodeCell, you're in for a treat. This tiny module is designed to simplify your DIY projects with multiple features packed into a penny-sized board. In this guide, we’ll walk you through:
CodeCell is a compact and versatile module featuring the ESP32-C3, multiple power options, and integrated sensors, all within a tiny 1.85 cm wide form factor. These features make it a powerful tool for a wide range of applications.
In this first section, we'll start by getting familiar with the circuitry that forms the CodeCell. After that, we'll walk through the simple steps to set up your CodeCell.
ESP32C3 Module
At the heart of the CodeCell is the ESP32C3 module, a compact microcontroller known for being maker-friendly in the IoT space. It combines an Arduino-compatible architecture with built-in Wi-Fi and Bluetooth Low Energy (BLE) capabilities. This integration offers the most popular connectivity options while maintaining a small form factor.
The ESP32C3 module's PCB antenna is positioned on one side, away from other components, to minimize interference and improve signal transmission and reception. This placement helps reduce the impact of ground planes or other conductive surfaces that could degrade antenna performance. The components on the bottom side are kept within the recommended clearance for the antenna. From testing we found that the antenna's performance remains unaffected by the minimal interference from a USB-C cable, as these cables are typically shielded.
The ESP32-C3 provides plenty of memory, with 4 MB of Flash and 400 KB of SRAM, making it capable of running most typical applications. Its 32-bit RISC-V single-core processor, running at up to 160 MHz, efficiently handles various tasks. This combination of memory and processing power makes the ESP32-C3 suitable for a wide range of uses.
The ESP32C3 module also supports a USB Serial/JTAG Controller, allowing us to make the CodeCell reflashable through the USB-C port and to send serial data for communication and debugging.
Power Management
The CodeCell offers flexibility in power supply options. It can be powered through the LiPo battery connector, a USB-C cable, or both.
The LiPo battery connector makes it easier than ever to safely connect the battery without the need for soldering or risking accidental shorting it.
The USB-C port serves dual purposes: it is used for both powering the device and/or reprogramming it. This multi-power option is enabled through the BQ24232 battery management chip, which features dynamic power-path management (DPPM) that can power the system while simultaneously and independently charging the battery. The battery charging process is managed in three phases: conditioning precharge, constant current, and constant voltage. To protect the battery the output voltage (Vo) is regulated though the BQ24232 chip. This output supports a maximum output current of 1500mA when powered by the LiPo battery and 450mA when powered via USB.
By default, the LiPo battery charge current is set to 90mA, ensuring a balanced and a safe charge rate for the optional 170mAh LiPo battery. Further more, for those who wish to adjust the charging rate, 0402 resistor R12 have to be de-soldered and replace it with a new resistor based on the formula (R = 870/Ichrg). This is only recommended for soldering pros, who aren’t afraid of wrestling with tiny 0402 components! Check the BQ24232 datasheet for more information on the battery charging.
The CodeCell library can provides visual feedback on the battery/usb power status via the onboard addressable RGB LED:
The power regulation is further supported by multiple decoupling capacitors, including up to two bulk capacitors of 100µF each, placed next to the battery-connector. These capacitors are connected to the 3.3V and the output Vo pins to ensure stable power delivery. Additionally, the board features two TVS diodes for protection; one safeguards the USB input 5V voltage (Vin), and the other protects the output voltage (Vo). These TVS diodes provide protection against electrostatic discharges (ESD), capable of safely absorbing repetitive ESD strikes above the maximum level specified in the IEC 61000-4-2 international standard without performance degradation.
The board also includes an onboard 3.3V Low Dropout (LDO) regulator, which provides a stable power supply to its low-voltage components. This tiny NCP177 LDO chip can output up to 500mA output current with a typically low dropout voltage of 200mV at 500mA.
GPIO and Power Pins
Given the compact design, the main challenge was to maximize the use of GPIO pins. We tackled this by dividing each of the three available sides of the CodeCell into different I/O sections based on their applications. We also placed power pins along the edges of the module for easy connection to various power sources, allowing you to connect other modules, sensors, and actuators to different sides.
On the bottom side, 3 out of 5 pins are used for power: a ground pin (GD), a 3.3V logic-level power pin (3V3) and a 5V input charge pin (5V0). This 5V0 pin is connected to the USB input-voltage. This means you can use it to get 5V power when the USB is connected, or you can use it as a power input for charging instead of using the USB.. The other 2 pins are the I2C SDA & SCL pins for adding external digital sensors. If your not using any external and the light/motion sensors, these I2C pins can be set up as GPIOs.
The other two sides each have a ground pin (GD) and a voltage output pin (VO). Each side also features 3 programmable GPIO pins (IO1, IO2, IO3, IO5, IO6, IO7), which can all be configured as PWM pins (ideal for directly connecting an h-bridge for actuator/motor control). IO1, IO2, and IO3 can also be used as ADC pins.
Sensing Capabilities
The CodeCell's standout features include its onboard sensors. Each unit comes equipped with a built-in light sensor, and there's also an optional motion sensor available to elevate your project's motion detection—especially useful for robotics and wearables!
Next we'll dive into how the CodeCell library simplifies both configuring these sensors and reading their data.
What about the BOOT Pin?
Some ESP32 development boards include both a RST (Reset) button and a BOOT button to manually put the device into programming mode. However, the ESP32-C3, such as the one on the CodeCell module, can automatically enter boot mode through the serial interface when using the Arduino IDE. This means the CodeCell doesn't need dedicated RST or BOOT buttons, which allowed us to make it as small as it is.
In the rare case that your CodeCell freezes or encounters an exception (causing it to continuously reset), you can manually force it into boot mode to reflash the firmware. To do this, simply follow these steps:
Following these steps will restore your CodeCell back to life.
To make programming even easier, the CodeCell library provides a wide array of functions for initializing, reading, and managing sensors and power. In this section we're going to explain everything you need to know about setup up your device and it's library.
Unboxing Your CodeCell
Let’s start with what you’ll find inside the box. Depending on the options you selected during checkout, in the box you'll find:
Powering Up Your CodeCell for the First Time
Let's start by plugging in a USB-C cable! Once your CodeCell receives power it should:
Setting Up Your CodeCell
Next step is to connect the CodeCell to Arduino IDE and run a sketch:
With your IDE all set up, we can now go ahead an install the "CodeCell" library. To do this go to 'Sketch>Include Library>Manage Libraries' - the 'Library Manager' should open up. Just type "CodeCell" and click 'Install' to download the latest version of the CodeCell.
We are continuously updating and adding new features to this library, so make sure you're using the latest version.
To quickly get familiar with this library, go to 'File > Examples > CodeCell,' where you'll find multiple examples you can use and modify for your projects. We recommend starting with the 'GettingStarted' example, which contains just a few lines of code but explains all the sensing functionalities available with CodeCell.
Once you select an example sketch, click the 'Upload' button to flash the code onto your CodeCell. After uploading, open the Serial Monitor 'Tools > Serial Monitor' to see serial data from your CodeCell.
Here are some additional CodeCell tutorials to help you get started with various applications:
CodeCell Library Functions
To explore the code further, let's break down all the functions and explain what each one does:
Initializing CodeCell
The first step in using the CodeCell is to initialize it. This is done using the `myCodeCell.Init()` function, which allows you to specify the sensors you want to enable.
Available Sensing Macros:
You can combine multiple macros using the `+` operator to initialize multiple sensors at once.
Managing Power
The `myCodeCell.Run()` function is crucial for power management. This function should be called within the `loop()` function to handle battery status and ensure optimal power usage.
Function Behavior:
Reading Sensor Data
After initializing the sensors, you can read their data using various functions provided by the library. Here's a quick rundown of the available functions:
Light Sensor Functions:
Motion Sensor Functions:
Example Usage:
Sleep, Power-Saving, Diagnostic & LED Functions
The CodeCell includes several functions to manage sleep and power-saving modes:
You've now taken your first steps with CodeCell. Dive deeper into the library examples, explore sensor integrations, and start bringing your innovative projects to life with CodeCell!
In this guide, we will explore how to configure the CodeCell's ESP32-C3 to be used as a WiFi remote, communicating between two devices.
In this example, we will pair two CodeCell devices. Device 1 will gather sensor data and send it to Device 2 via WiFi using the ESP-NOW protocol. We'll start with a simple setup where the proximity sensor on Device 1 controls the onboard LED on Device 2. In the second example, Device 1 will send angular data, and Device 2 will process the data to adjust motor speeds.
Before you can establish communication between the two CodeCell devices, you first need to get the MAC address of the receiver. This MAC address will be used in the sender's code to ensure the correct device receives the data.
Follow these steps to obtain the MAC address of the receiver:
XX:XX:XX:XX:XX:XX. Copy this address, as you'll need it for the sender's code.This example demonstrates how to send proximity sensor data from Device 1 to Device 2, which will use the data to turn on or off its onboard LED.
#include <esp_now.h>
#include <WiFi.h>
#include <CodeCell.h>
CodeCell myCodeCell;
uint8_t receiverMAC[] = { 0xXX, 0xXX, 0xXX, 0xXX, 0xXX, 0xXX }; // Replace with receiver's MAC address
void setup() {
Serial.begin(115200);
myCodeCell.Init(LIGHT); // Initializes Light Sensing
// Initialize WiFi in Station mode
WiFi.mode(WIFI_STA);
Serial.println(WiFi.macAddress());
// Initialize ESP-NOW
if (esp_now_init() != ESP_OK) {
Serial.println("Error initializing ESP-NOW");
return;
}
// Register peer
esp_now_peer_info_t peerInfo;
memcpy(peerInfo.peer_addr, receiverMAC, 6);
peerInfo.channel = 0;
peerInfo.encrypt = false;
if (esp_now_add_peer(&peerInfo) != ESP_OK) {
Serial.println("Failed to add peer");
return;
}
}
void loop() {
if (myCodeCell.Run()) {
uint16_t ProxRead = (myCodeCell.Light_ProximityRead()) >> 4; // Get Proximity Value and Divide by 16
Serial.println(ProxRead);
esp_err_t result = esp_now_send(receiverMAC, (uint8_t *)&ProxRead, sizeof(ProxRead));
if (result == ESP_OK) {
Serial.println("Data sent successfully");
} else {
Serial.println("Sending Error");
}
}
}
#include <esp_now.h>
#include <WiFi.h>
#include <CodeCell.h>
CodeCell myCodeCell;
void setup() {
Serial.begin(115200);
myCodeCell.Init(LIGHT); // Initializes Light Sensing
// Initialize WiFi in Station mode
WiFi.mode(WIFI_STA);
Serial.println(WiFi.macAddress());
// Initialize ESP-NOW
if (esp_now_init() != ESP_OK) {
Serial.println("Error initializing ESP-NOW");
return;
}
// Register the receive callback
esp_now_register_recv_cb(onDataRecv);
}
// Receive callback function
void onDataRecv(const esp_now_recv_info *recvInfo, const uint8_t *incomingData, int len) {
uint16_t Remote_Value;
memcpy(&Remote_Value, incomingData, sizeof(Remote_Value));
Serial.println(Remote_Value);
myCodeCell.LED(0, Remote_Value, 0); // Control onboard LED brightness
}
void loop() {
// Nothing to do here
}
In this second example, we connect two motors with a two DriveCells to the receiver. Device 1 reads angular data from its motion sensors and sends it to Device 2, which adjusts the speed of two motors based on the received data.
If you are using different devices for this example, remember to read the new MAC address of the receiver and replace the placeholder MAC address in the sender's code.
#include <esp_now.h>
#include <WiFi.h>
#include <CodeCell.h>
CodeCell myCodeCell;
uint8_t receiverMAC[] = {0xXX, 0xXX, 0xXX, 0xXX, 0xXX, 0xXX}; // Replace with receiver's MAC address
int Roll_Control = 0;
float Roll = 0.0;
float Pitch = 0.0;
float Yaw = 0.0;
void setup() {
Serial.begin(115200);
myCodeCell.Init(MOTION_ROTATION); // Initialize motion sensing
// Initialize WiFi in Station mode
WiFi.mode(WIFI_STA);
Serial.println(WiFi.macAddress());
// Initialize ESP-NOW
if (esp_now_init() != ESP_OK) {
Serial.println("Error initializing ESP-NOW");
return;
}
// Register peer
esp_now_peer_info_t peerInfo;
memcpy(peerInfo.peer_addr, receiverMAC, 6);
peerInfo.channel = 0;
peerInfo.encrypt = false;
if (esp_now_add_peer(&peerInfo) != ESP_OK) {
Serial.println("Failed to add peer");
return;
}
}
void loop() {
if (myCodeCell.Run()) {
myCodeCell.Motion_RotationRead(Roll, Pitch, Yaw);
Roll = Roll + 180;
Roll = (Roll * 100) / 180;
Roll = constrain(Roll, 0, 200) / 2;
Roll_Control = (uint8_t)Roll;
Serial.println(Roll_Control);
esp_now_send(receiverMAC, (uint8_t *)&Roll_Control, sizeof(Roll_Control));
}
}
#include <esp_now.h>
#include <WiFi.h>
#include <CodeCell.h>
#include <DriveCell.h>
#define IN1_pin1 2
#define IN1_pin2 3
#define IN2_pin1 5
#define IN2_pin2 6
CodeCell myCodeCell;
DriveCell Motor1(IN1_pin1, IN1_pin2);
DriveCell Motor2(IN2_pin1, IN2_pin2);
void setup() {
Serial.begin(115200);
myCodeCell.Init(LIGHT); // Initialize Light Sensing
Motor1.Init();
Motor2.Init();
// Initialize WiFi in Station mode
WiFi.mode(WIFI_STA);
Serial.println(WiFi.macAddress());
// Initialize ESP-NOW
if (esp_now_init() != ESP_OK) {
Serial.println("Error initializing ESP-NOW");
return;
}
// Register the receive callback
esp_now_register_recv_cb(onDataRecv);
}
void onDataRecv(const esp_now_recv_info *recvInfo, const uint8_t *incomingData, int len) {
int Roll_Speed = 0;
memcpy(&Roll_Speed, incomingData, sizeof(Roll_Speed));
if (Roll_Speed > 50) {
Motor1.Drive(1, Roll_Speed);
Motor2.Drive(1, Roll_Speed);
} else {
Roll_Speed = 100 - Roll_Speed;
Motor1.Drive(0, Roll_Speed);
Motor2.Drive(0, Roll_Speed);
}
Serial.println(Roll_Speed);
}
void loop() {
if (myCodeCell.Run()) {}
}
By following these examples, you can configure two CodeCell devices to communicate over WiFi using ESP-NOW. The examples highlight how to send proximity and angular data between devices and utilize the data for real-time control of LEDs and motors.
Feel free to expand on these projects by incorporating more sensors or additional features to enhance the functionality of your remote system!
In this build, we'll explore how to configure the CodeCell's ESP32-C3 to use Google's Gemini AI for Arduino prompt-based interactions. You'll learn how to send a prompt via the Serial Monitor and, in a second example, how the CodeCell can automatically trigger a joke based on proximity sensing. This project is ideal for anyone looking to add AI capabilities to their IoT projects.
In this example, we use Google’s Gemini model for generating content based on user input or sensor data. Through out this tutorial we will use and modify the code example made by 'techiesms' - Watch the full tutorial here.
With the ESP32-C3's WiFi capabilities, you can make HTTP requests to Google’s Gemini API, allowing real-time interaction with the AI. Whether you’re asking for text responses or generating creative outputs like jokes, this integration is straightforward to implement.
In the first example, you’ll send prompts directly via the Serial Monitor, and the CodeCell will send this input to Google Gemini AI for processing. The AI's response is printed back to the Serial Monitor, limited by 100 tokens. In the second example, the CodeCell’s proximity sensor will trigger a prompt to the AI, asking it to generate a joke when it detects an object. This setup can be used for fun interactive projects where the device responds to its environment using AI-based content.
Before we integrate the Gemini AI into our ESP32-C3 setup, we first need to generate an API key and test it. Follow the steps below to create your API key and then you can also test it using a software like Postman.
Now that we have the API key, we can test it using the Postman application. Postman is a free tool that allows you to make HTTP requests and see the responses.
https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=YOUR_API_KEY
Once you’ve entered the URL, we need to set up the request headers and body.
{
"contents": [
{
"parts": [
{
"text": "Who are you?"
}
]
}
],
"generationConfig": {
"maxOutputTokens": 100
}
}
In this example, we are asking the AI a simple question: "Who are you?" and setting the maximum number of tokens to 100. Tokens control the length of the response generated by the AI. If you lower the token limit (e.g., 20 tokens), the response will be shorter. You can experiment with different values for maxOutputTokens to see how it affects the response length.
"I am a large language model trained by Google."
Once you've generated and verified that the API works, you can proceed with the next step: integrating this API into your CodeCell project.
Below is the example code to get you started. In this example, the AI will respond to text prompts you send via the Serial Monitor. Remember to replace the placeholders with your WiFi credentials and Gemini API token.
#include <Arduino.h>
#include <WiFi.h>
#include <HTTPClient.h>
#include <ArduinoJson.h>
#include <CodeCell.h>
CodeCell myCodeCell;
const char* ssid = "SSID"; //Enter your SSID
const char* password = "PASSWORD"; //Enter your password
const char* Gemini_Token = ""; //Enter your Gemini token
const char* Gemini_Max_Tokens = "100";
String res = "";
void setup() {
Serial.begin(115200);
WiFi.mode(WIFI_STA);
WiFi.disconnect();
while (!Serial);
// Wait for WiFi connection
WiFi.begin(ssid, password);
Serial.print("Connecting to ");
Serial.println(ssid);
while (WiFi.status() != WL_CONNECTED) {
delay(1000);
Serial.print(".");
}
Serial.println("connected");
Serial.print("IP address: ");
Serial.println(WiFi.localIP());
}
void loop() {
while (!Serial.available());
while (Serial.available()) {
char add = Serial.read();
res += add;
delay(1);
}
int len = res.length();
res = res.substring(0, len - 1);
res = "\"" + res + "\"";
HTTPClient https;
if (https.begin("https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=" + String(Gemini_Token))) {
https.addHeader("Content-Type", "application/json");
String payload = "{\"contents\": [{\"parts\":[{\"text\":" + res + "}]}],\"generationConfig\": {\"maxOutputTokens\": " + String(Gemini_Max_Tokens) + "}}";
int httpCode = https.POST(payload);
if (httpCode == HTTP_CODE_OK) {
String response = https.getString();
DynamicJsonDocument doc(1024);
deserializeJson(doc, response);
String answer = doc["candidates"][0]["content"]["parts"][0]["text"];
answer.trim();
Serial.println(answer);
} else {
Serial.printf("[HTTPS] POST failed, error: %s\n", https.errorToString(httpCode).c_str());
}
https.end();
} else {
Serial.printf("[HTTPS] Unable to connect\n");
}
res = "";
}
This example uses the CodeCell's proximity sensor to trigger a prompt when an object is detected nearby. The AI will respond with a joke.
#include <Arduino.h>
#include <WiFi.h>
#include <HTTPClient.h>
#include <ArduinoJson.h>
#include <CodeCell.h>
CodeCell myCodeCell;
const char* ssid = "SSID"; //Enter your SSID
const char* password = "PASSWORD"; //Enter your password
const char* Gemini_Token = ""; //Enter your Gemini token
const char* Gemini_Max_Tokens = "100";
String res = "";
void setup() {
Serial.begin(115200);
myCodeCell.Init(LIGHT); // Initializes proximity sensing
WiFi.mode(WIFI_STA);
WiFi.disconnect();
while (!Serial);
WiFi.begin(ssid, password);
Serial.print("Connecting to ");
Serial.println(ssid);
while (WiFi.status() != WL_CONNECTED) {
delay(1000);
Serial.print(".");
}
Serial.println("connected");
Serial.print("IP address: ");
Serial.println(WiFi.localIP());
}
void loop() {
if (myCodeCell.Run()) {
uint16_t proximity = myCodeCell.Light_ProximityRead();
if (proximity > 100) {
Serial.println("Here's a new joke...");
myCodeCell.LED(0, 0xFF, 0); // Set LED to Green when proximity is detected
res = "\"Tell me a unique joke\"";
HTTPClient https;
if (https.begin("https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=" + String(Gemini_Token))) {
https.addHeader("Content-Type", "application/json");
String payload = "{\"contents\": [{\"parts\":[{\"text\":" + res + "}]}],\"generationConfig\": {\"maxOutputTokens\": " + String(Gemini_Max_Tokens) + "}}";
int httpCode = https.POST(payload);
if (httpCode == HTTP_CODE_OK) {
String response = https.getString();
DynamicJsonDocument doc(1024);
deserializeJson(doc, response);
String answer = doc["candidates"][0]["content"]["parts"][0]["text"];
answer.trim();
Serial.println(answer);
} else {
Serial.printf("[HTTPS] POST failed, error: %s\n", https.errorToString(httpCode).c_str());
}
https.end();
} else {
Serial.printf("[HTTPS] Unable to connect\n");
}
res = "";
}
}
}
This project showcases how to integrate AI responses into your CodeCell projects using Google’s Gemini API. By leveraging the ESP32-C3’s WiFi capabilities, you can create interactive devices that react to user input or environmental factors, making your IoT builds smarter and more engaging.
Experiment with the code and customize the prompts to suit your projects!
In this build, we'll explore how to configure the CodeCell's onboard LED light using the Espalexa library, which allows Alexa to control devices like smart lights. We'll walk you through the process of connecting the CodeCell to your Wi-Fi, setting up the Espalexa library, and enabling voice control for the onboard LED through Alexa.
The Espalexa library simplifies Alexa integration for ESP32 projects. It creates a virtual smart light, which Alexa can control via voice commands, without needing complex setup or cloud services. By using this library, your CodeCell can function as a smart device, like a light bulb, that Alexa can turn on, off, or dim.
In this project, the CodeCell is set up to connect to your Wi-Fi network. Once connected, Alexa can control the onboard LED light using voice commands, whether it's fully on (green) or off (no color).
Below is the example code to get you started. Update the Wi-Fi credentials with your network details, and follow the comments in the code to understand each step.
#include <Espalexa.h>
#include <WiFi.h>
#include <CodeCell.h>
CodeCell myCodeCell;
// WiFi credentials
const char* ssid = "SSID"; //Change to your SSID
const char* password = "PASSWORD"; // Change to your password
// Alexa object
Espalexa espalexa;
// Function to handle Alexa commands
void alexaCallback(uint8_t brightness) {
// Handle brightness (or ON/OFF) commands here
if (brightness == 255) {
myCodeCell.LED(0, 0xFF, 0); // Full brightness, green light
} else if (brightness == 0) {
myCodeCell.LED(0, 0, 0); // Turn off the LED
}
}
void setup() {
// Initialize serial for debugging
Serial.begin(115200);
myCodeCell.Init(LIGHT); /*Initializes Light Sensing*/
// Connect to WiFi
WiFi.begin(ssid, password);
while (WiFi.status() != WL_CONNECTED) {
delay(500);
Serial.print(".");
}
Serial.println("WiFi connected");
// Add a device to Alexa
espalexa.addDevice("MyLED", alexaCallback);
// Start Espalexa
espalexa.begin();
}
void loop() {
espalexa.loop(); // Handle Alexa requests
}
After uploading the code and connecting the CodeCell to Wi-Fi, the next step is to add the device to your Alexa app. Follow these steps to pair it with Alexa:
With these steps, your CodeCell's onboard LED is now fully integrated into your smart home setup, and you can control it with Alexa voice commands or the Alexa app!
alexaCallback() function to use different colors based on Alexa’s brightness level. You can use RGB values to create various effects.This project demonstrates how to integrate the CodeCell with Alexa using the Espalexa library to control the onboard LED light. By following this example, you can easily build voice-activated projects with CodeCell, bringing IoT capabilities into your hands!
Get creative with the customization options and bring more of your projects to life with Alexa integration!
In this build, we'll explore how to use the CodeCell's onboard proximity sensor to detect depth gestures and control two FlatFlaps, varying their angles based on the proximity values. This project demonstrates a unique way to create interactive robots, actuators, motors or light that respond to hand movements.
The CodeCell is equipped with a VCNL4040 proximity sensor that can measure distances up to 20 cm. By using an infrared light, the sensor detects objects within its range, measuring the reflection of emitted IR light to approximate distance. This allows you to create responsive behaviors based on how close an object is, making it ideal for interactive gestures.
Depth gestures are based on the proximity data from the CodeCell's onboard sensor. By moving your hand or other objects closer or further from the sensor, you can create dynamic inputs that drive various actions. In this project, the proximity data is used to control the angle of two FlatFlaps, which are connected to two DriveCells (H-bridge drivers).
In this example, the CodeCell continuously reads proximity data and adjusts the angle of two FlatFlaps based on how close the object is. As the object moves closer or further, the angle of the FlatFlaps changes, demonstrating a simple yet effective method for depth gesture-based control.
The two FlatFlaps, are soldered to two DriveCells (H-bridge drivers), which are pin to pin compatible with the CodeCell. These components are then connected on 3D printed mount, to create a cute little Flappy-Bot! Don't forget to add a googly-eye to give it more personality!
Below is the example code to get you started. Ensure your CodeCell is properly connected via USB-C, and the FlatFlaps are connected to the two DriveCells. Follow the comments in the code to understand each step.
#include <CodeCell.h>
#include <DriveCell.h>
#define IN1_pin1 2
#define IN1_pin2 3
#define IN2_pin1 5
#define IN2_pin2 6
DriveCell FlatFlap1(IN1_pin1, IN1_pin2);
DriveCell FlatFlap2(IN2_pin1, IN2_pin2);
CodeCell myCodeCell;
void setup() {
Serial.begin(115200); // Set Serial baud rate to 115200. Ensure Tools/USB_CDC_On_Boot is enabled if using Serial.
myCodeCell.Init(LIGHT); // Initializes Light Sensing
FlatFlap1.Init();
FlatFlap2.Init();
FlatFlap1.Tone();
FlatFlap2.Tone();
}
void loop() {
if (myCodeCell.Run()) {
// Runs every 100ms
uint16_t proximity = myCodeCell.Light_ProximityRead();
Serial.println(proximity);
if (proximity < 100) {
// If proximity is detected, the FlatFlaps flap
FlatFlap1.Run(1, 100, 400);
FlatFlap2.Run(1, 100, 400);
} else {
// Adjust FlatFlap angle based on proximity
proximity = proximity - 100;
proximity = proximity / 10;
if (proximity > 100) {
proximity = 100;
}
FlatFlap1.Drive(0, proximity);
FlatFlap2.Drive(0, proximity);
}
}
}
This project shows how to use the CodeCell's proximity sensor for depth gestures, driving the angles of FlatFlaps based on object distance. Experiment with the code, customize the parameters, and bring your own flappy bot to life!
In this build, we'll explore how to configure the CodeCell's onboard motion sensor to try and guess the personal activate you're doing, and display it on an OLED screen. Its meant to track different states such as walking, running, cycling, climbing stairs and driving!
The CodeCell's motion sensor is capable of categorizing various personal activities based on movement patterns. Based on these patterns the BNO085 sensor will try to guess which activity is being performed. These activities include walking, running, cycling, driving and more.
The CodeCell library makes it easy for you to directly read the activity without any complex code.
In this example, the CodeCell continuously monitors the BNO085's personal activity guess. The activity with the highest chance is then displayed on an OLED screen using the Adafruit SSD1306 library. This setup is ideal for creating wearable activity monitors or fitness trackers that provide real-time feedback on physical activities.
Note that some activities might take between 10-30 seconds to start getting recognized, as it will mainly depend on orientation of the CodeCell and where it is mounted.
Below is the example code to get you started. Make sure your CodeCell is connected via USB-C and your OLED display is wired correctly to the CodeCell’s lower side, using its ground, 3V3, and I2C pins (SDA and SCL).
Follow the comments in the code to understand each step.
#include <CodeCell.h>
#include <Wire.h>
#include <Adafruit_GFX.h>
#include <Adafruit_SSD1306.h>
CodeCell myCodeCell;
/* Configure the OLED Display */
#define SCREEN_WIDTH 128 // OLED display width, in pixels
#define SCREEN_HEIGHT 32 // OLED display height, in pixels
#define OLED_RESET -1 // Reset pin # (or -1 if sharing Arduino reset pin)
#define SCREEN_ADDRESS 0x3C // Address of the OLED display
Adafruit_SSD1306 display(SCREEN_WIDTH, SCREEN_HEIGHT, &Wire, OLED_RESET);
int read_timer = 0;
void setup() {
Serial.begin(115200); // Set Serial baud rate to 115200. Ensure Tools/USB_CDC_On_Boot is enabled if using Serial.
myCodeCell.Init(MOTION_ACTIVITY); // Initializes activity sensing.
if (!display.begin(SSD1306_SWITCHCAPVCC, SCREEN_ADDRESS)) {
Serial.println(F("SSD1306 allocation failed"));
}
display.clearDisplay();
display.setTextSize(1);
display.setTextColor(SSD1306_WHITE);
display.display();
delay(2000);
}
void loop() {
if (myCodeCell.Run()) {
if (read_timer < 10) {
read_timer++;
} else {
// Update every 1 sec
read_timer = 0;
display.clearDisplay();
display.setCursor(32, 16);
display.print(F("Activity: "));
display.setCursor(32, 24);
switch (myCodeCell.Motion_ActivityRead()) {
case 1:
display.print("Driving");
break;
case 2:
display.print("Cycling");
break;
case 3:
case 6:
display.print("Walking");
break;
case 4:
display.print("Still");
break;
case 5:
display.print("Tilting");
break;
case 7:
display.print("Running");
break;
case 8:
display.print("Stairs");
break;
default:
display.print("Reading..");
break;
}
display.display();
}
}
}
This project demonstrates how to use the CodeCell’s motion sensor to monitor personal activities and display the results on an OLED screen. This basic setup provides a foundation for developing more advanced activity monitoring systems.
Experiment with the code and settings to create your own personalized wearable!
In this build, we'll explore how to use the CodeCell's onboard motion sensor to measure step counts and display these counts on an OLED display. This project demonstrates how to create a step counter, ideal for fitness trackers, pedometers, or any other DIY project that requires activity monitoring.
The CodeCell is equipped with a motion sensor that can track step counts by using its onboard sensors to detect specific movement patterns. This algorithm is performed inside the BNO085 sensor, and the CodeCell library help you easily reads these step counts.
In this example, the CodeCell continuously monitors for steps and updates the count. This count is then displayed on an OLED screen using the Adafruit SSD1306 library.
Below is the example code to get you started. Ensure your CodeCell is properly connected via USB-C and your OLED display is correctly wired to the CodeCell's lower side. There you can use its ground, 3V3 and I2C pins (SDA and SCL).
Follow the comments in the code to understand each step.
#include <CodeCell.h>
#include <Wire.h>
#include <Adafruit_GFX.h>
#include <Adafruit_SSD1306.h>
CodeCell myCodeCell;
/* Configure the OLED Display */
#define SCREEN_WIDTH 64 // OLED display width, in pixels
#define SCREEN_HEIGHT 32 // OLED display height, in pixels
#define OLED_RESET -1 // Reset pin # (or -1 if sharing Arduino reset pin)
#define SCREEN_ADDRESS 0x3C // Address of the OLED display
Adafruit_SSD1306 display(SCREEN_WIDTH, SCREEN_HEIGHT, &Wire, OLED_RESET);
uint16_t step_counter = 0;
void setup() {
Serial.begin(115200); // Set Serial baud rate to 115200. Ensure Tools/USB_CDC_On_Boot is enabled if using Serial.
myCodeCell.Init(MOTION_STEP_COUNTER); // Initializes step counting and activity sensing.
if (!display.begin(SSD1306_SWITCHCAPVCC, SCREEN_ADDRESS)) {
Serial.println("Display Error");
}
display.clearDisplay();
display.setTextSize(1);
display.setTextColor(SSD1306_WHITE);
display.display();
delay(2000);
}
void loop() {
if (myCodeCell.Run()) {
// Read step count from the CodeCell motion sensor.
myCodeCell.Motion_StepCounterRead(step_counter);
// Clear the display and show the step count.
display.clearDisplay();
display.setCursor(32, 16); // Start at top-left corner
display.print(F("Steps: "));
display.print(step_counter);
display.display();
}
}
This project demonstrates how to use the CodeCell’s motion sensor to count steps and display the count on an OLED screen. Experiment with the code,to create your own wearable fitness device!
In this build, we'll explore how to use the CodeCell's onboard 9-axis motion sensor to read roll, pitch, and yaw angles, and use these angles to control a servo motor. This project demonstrates how to create interactive motion-based controls, perfect for robotics, gimbals, or any project that requires responsive rotation control.
The CodeCell is equipped with a BNO085 motion sensor, which provides precise motion sensing capabilities, including roll, pitch, and yaw angles. By reading these angles, you can create interactive motion controls for various applications, such as stabilizing platforms or create a response to device orientation.
The BNO085 motion sensor read the acceleromter, gyroscope and magnetometer reading and compute the rotation vectors. These vectors are sent to the CodeCell which it then transforms into angular data to obtain the roll, pitch, and yaw based on the device's orientation in space. These angles represent the device's rotation along three axes. In this example, we'll use the pitch angle to control the position of a servo motor, allowing it to respond dynamically to changes in orientation.
In this example, the CodeCell continuously monitors the pitch angle. The pitch value is used to set the servo motor's position, allowing it to rotate based on how you tilt the device. This basic functionality can be expanded to create more complex interactions, such as controlling multiple servos, stabilizing a platform, or adding responsive movements to a robot.
Below is the example code to get you started. Make sure your CodeCell is properly connected via USB-C. Also, make sure that your servo-motor can be power via USB-C and add its angular limits to the code.
For this example you have to download the ESp32Servo libraryto control the servo-motor with your CodeCell. Follow the comments in the code to understand each step.
#include <CodeCell.h>
#include <ESP32Servo.h>
CodeCell myCodeCell;
Servo myservo;
float Roll = 0.0;
float Pitch = 0.0;
float Yaw = 0.0;
int servo_angle = 0;
void setup() {
Serial.begin(115200); // Set Serial baud rate to 115200. Ensure Tools/USB_CDC_On_Boot is enabled if using Serial
myCodeCell.Init(MOTION_ROTATION); // Initializes rotation sensing
myservo.attach(1); // Attaches the servo on pin 1 to the servo object
}
void loop() {
if (myCodeCell.Run()) {
// Read rotation angles from the BNO085 sensor
myCodeCell.Motion_RotationRead(Roll, Pitch, Yaw);
// Convert the pitch angle to a servo angle
servo_angle = abs((int)Pitch);
servo_angle = (180 - servo_angle);
// Limit the servo angle to the range 0-60 degrees
if (servo_angle > 60) {
servo_angle = 60;
} else if (servo_angle < 0) {
servo_angle = 0;
}
Serial.println(servo_angle); // Print the servo angle for debugging
myservo.write(servo_angle); // Set the servo position
}
}
servo_angle in the code. In this example we are using a 60deg range micro-servo. Note that some servo-motors are not mechanically linear so you might also have to compensate for its angular-mechanical error.This project introduces the basics of using rotation sensing with CodeCell to control a servo, opening up numerous possibilities for motion-responsive projects. Experiment with the code, tweak the settings, and create your own dynamic builds!
In this build, we'll explore how to use the CodeCell's onboard 9-axis motion sensor to detect taps. This project demonstrates how to use tap detection for interactive controls, making it perfect for creating responsive actions with a simple tap on the device.
The CodeCell is equipped with a BNO085 motion sensor, which offers a variety of sensing capabilities, including tap detection. This feature uses accelerometer data to detect taps, making it ideal for interactive controls like toggling lights, triggering sound effects, or other actions based on a simple tap gesture.
The BNO085 motion sensor detects taps by monitoring sudden accelerations along its axes. When a tap is detected, the sensor registers the event, allowing you to trigger actions like lighting up an LED or toggling other devices. This functionality is particularly useful for creating touch-based interactions without the need for mechanical buttons.
In this example, the CodeCell continuously monitors for taps. When a tap is detected, the onboard LED lights up in yellow for one second. You can expand on this basic functionality to create more complex interactions, such as controlling multiple LEDs, motors, or other connected devices based on tap inputs.
Below is the example code to get you started. Make sure your CodeCell is properly connected via USB-C, and follow the comments in the code to understand each step.
#include <CodeCell.h>
CodeCell myCodeCell;
void setup() {
Serial.begin(115200); // Set Serial baud rate to 115200. Ensure Tools/USB_CDC_On_Boot is enabled if using Serial
myCodeCell.Init(MOTION_TAP_DETECTOR); // Initializes tap detection sensing
}
void loop() {
if (myCodeCell.Run()) {
// Runs every 100ms to check for taps
if (myCodeCell.Motion_TapRead()) {
// If a tap is detected, shine the LED yellow for 1 second
myCodeCell.LED(0xA0, 0x60, 0x00); // Set LED to yellow
delay(1000); // Keep the LED on for 1 second
}
}
}
In this next example, we use a CoilCell to flip its polarity, and actuate a flip-dot. This expands the interactivity by using tap detection to control external devices, creating a more dynamic response.
#include <CoilCell.h>
#include <CodeCell.h>
#define IN1_pin1 5
#define IN1_pin2 6
CoilCell myCoilCell(IN1_pin1, IN1_pin2);
CodeCell myCodeCell;
void setup() {
Serial.begin(115200); // Set Serial baud rate to 115200. Ensure Tools/USB_CDC_On_Boot is enabled if using Serial.
myCodeCell.Init(MOTION_TAP_DETECTOR); // Initializes tap detection sensing.
myCoilCell.Init(); // Initializes the CoilCell.
myCoilCell.Tone(); // Plays a tone to confirm initialization.
}
void loop() {
if (myCodeCell.Run()) {
// Runs every 100ms to check for taps.
if (myCodeCell.Motion_TapRead()) {
// If a tap is detected, shine the LED yellow and flip the CoilCell's polarity.
myCodeCell.LED(0xA0, 0x60, 0x00); // Set LED to yellow.
myCoilCell.Toggle(100); // Toggle the CoilCell's polarity.
delay(1000); // Delay to keep the LED on and polarity flipped for 1 second.
}
}
}
This project introduces the basics of using tap detection with CodeCell. Experiment with the code, customize the responses, and explore the potential of tap detection in your next project!
In this build, we'll explore how to use the CodeCell's onboard proximity sensor to detect objects.
The CodeCell is equipped with a VCNL4040 sensor that can measure proximity up to 20 cm. This sensor uses I2C communication and is automatically initialized through the CodeCell library, allowing for seamless integration into your projects. Whether you're looking to add simple gesture depth control or detect nearby objects, the VCNL4040 makes it easy to add proximity sensing into your builds.
The VCNL4040 proximity sensor uses infrared light to detect objects within its range. It measures the reflection of emitted IR light to approximate how close an object is, allowing you to create responsive behaviors based on proximity. This feature is particularly useful for creating interactive lighting, robotics, touchless switches, or other proximity-based actions.
In this example, the CodeCell continuously monitors proximity data and turns on a red LED when an object is detected. You can expand on this basic functionality to create more complex interactions, such as varying the LED color or brightness based on distance, or triggering different actions based on proximity.
Below is the example code to get you started. Ensure your CodeCell is properly connected via USB-C, and follow the comments in the code to understand each step.
#include <CodeCell.h>
CodeCell myCodeCell;
void setup() {
Serial.begin(115200); // Set Serial baud rate to 115200. Ensure Tools/USB_CDC_On_Boot is enabled if using Serial
myCodeCell.Init(LIGHT); // Initializes light sensing, including proximity
}
void loop() {
if (myCodeCell.Run()) {
// Runs every 100ms to check proximity
uint16_t proximity = myCodeCell.Light_ProximityRead();
// Check if an object is within range
if (proximity > 100) {
myCodeCell.LED(0xFF, 0, 0); // Set LED to Red when proximity is detected
delay(1000); // Keep the LED on for 1 second
} else {
// No action if the object is out of range
}
}
}
100 in the example) to adjust the sensitivity of proximity detection based on your application.myCodeCell.LED() function to create multi-colored responses to proximity.This project introduces the basics of using proximity sensing with CodeCell, opening up a range of interactive possibilities. Experiment with the code, tweak the settings, and make it your own!
In this build, we'll explore how to use the CodeCell to sense white light and automatically adjust the brightness of LEDs. This project demonstrates the CodeCell's onboard light sensor, helping you create responsive lighting effects that adapt to changing light conditions.
The CodeCell features a built-in VCNL4040 sensor that can measure both light levels and proximity up to 20 cm. This sensor uses I2C communication, and talks to the ESP32 in the CodeCell library, where the sensor is automatically initialized to optimize its sensing resolution. This makes the setup straightforward, so you can focus on building your project.
The VCNL4040 sensor on the CodeCell is capable of both ambient light sensing and white light sensing, each serving distinct purposes:
In this project, we're using the white light sensing feature to directly influence LED brightness based on the detected white light levels, creating a more targeted response compared to general ambient light sensing.
In this example, the CodeCell continuously measures ambient white light and adjusts the brightness of an onboard LED based on the detected light level. As the room gets darker, the LED will dim, providing a smooth transition that you can tweak and customize for your own lighting projects.
Below is the example code to get you started. Make sure your CodeCell is connected properly, and follow the comments in the code to understand each step.
#include <CodeCell.h>
CodeCell myCodeCell;
void setup() {
Serial.begin(115200); // Set Serial baud rate to 115200. Ensure Tools/USB_CDC_On_Boot is enabled if using Serial.
myCodeCell.Init(LIGHT); // Initializes light sensing.
}
void loop() {
delay(100); // Small delay - You can adjust it accordingly
// Read white light from the sensor and adjust brightness for 8-bit
uint16_t brightness = (myCodeCell.Light_WhiteRead()) >> 3;
Serial.println(brightness); // Print the brightness value to the serial monitor for debugging.
// Limit the sensor values to the LED's brightness range (1 to 254)
if (brightness == 0U) {
brightness = 1U; // Set a minimum brightness to avoid turning off the LED completely
} else if (brightness > 254U) {
brightness = 254U; // Cap the brightness to the LED's maximum level
}
brightness = 255U - brightness; // Invert the brightness so the LED dims as it gets brighter
myCodeCell.LED(0, 0, brightness); // Shine the onboard blue RGB LED with the new adjusted brightness
}
myCodeCell.LED() function allows you to specify RGB values. Try experimenting with different colors based on light levels.This project is just the starting point for utilizing the CodeCell's light-sensing capabilities. Dive into the code, make it your own, and light up your next project!