How to Use huskylens v1: Examples, Pinouts, and Specs

HuskyLens V1, manufactured by Husky, is an AI-powered camera module designed for object, face, and color recognition and tracking. It leverages advanced machine learning algorithms to provide real-time visual recognition capabilities. With its intuitive interface and versatile functionality, HuskyLens V1 is ideal for robotics, automation, and interactive applications. Its compact design and ease of integration make it a popular choice for hobbyists, educators, and professionals alike.

• Robotics: Object and face tracking for autonomous navigation.
• Automation: Color recognition for sorting and quality control.
• Interactive Projects: Gesture-based controls and interactive displays.
• Education: Teaching AI and computer vision concepts.

Below are the key technical details of the HuskyLens V1:

The HuskyLens V1 module has a 4-pin interface for communication and power. The pin configuration is as follows:

To use HuskyLens V1 with an Arduino UNO, follow these steps:

1. Wiring:

   • Connect the VCC pin of HuskyLens to the 5V pin on the Arduino UNO.
   • Connect the GND pin of HuskyLens to the GND pin on the Arduino UNO.
   • Connect the TX pin of HuskyLens to the RX pin (pin 0) on the Arduino UNO.
   • Connect the RX pin of HuskyLens to the TX pin (pin 1) on the Arduino UNO.

2. Install Libraries:

   • Download and install the HuskyLens Arduino library from the official HuskyLens GitHub repository or Arduino IDE Library Manager.

3. Upload Code: Use the following example code to test the connection and functionality of HuskyLens V1:

   #include "HUSKYLENS.h" // Include the HuskyLens library
   
   HUSKYLENS huskylens; // Create a HuskyLens object
   
   void setup() {
     Serial.begin(9600); // Initialize serial communication
     while (!Serial);    // Wait for the serial monitor to open
   
     // Initialize HuskyLens with I2C communication
     if (!huskylens.begin(Wire)) {
       Serial.println("HuskyLens initialization failed!");
       while (1); // Halt if initialization fails
     }
   
     Serial.println("HuskyLens initialized successfully!");
   }
   
   void loop() {
     if (huskylens.request()) { // Request data from HuskyLens
       if (huskylens.isLearned()) { // Check if HuskyLens has learned an object
         Serial.println("Object detected!");
       } else {
         Serial.println("No object detected.");
       }
     } else {
       Serial.println("Failed to communicate with HuskyLens.");
     }
   
     delay(500); // Wait for 500ms before the next request
   }
   

• Power Supply: Ensure a stable power supply (3.3V to 5V) to avoid performance issues.
• Communication Mode: HuskyLens supports both UART and I2C. Configure the mode based on your project requirements.
• Learning Mode: Use the onboard buttons or serial commands to teach HuskyLens objects, faces, or colors to recognize.
• Mounting: Secure the module to avoid vibrations or misalignment, which can affect recognition accuracy.

1. Can HuskyLens V1 recognize multiple objects simultaneously?

   • Yes, HuskyLens can recognize and track multiple objects, depending on the mode.

2. What is the maximum recognition distance?

   • The recognition distance depends on the object size and lighting but typically ranges from 0.5m to 2m.

3. Can I use HuskyLens with Raspberry Pi?

   • Yes, HuskyLens supports UART and I2C communication, making it compatible with Raspberry Pi.

4. How do I reset HuskyLens to factory settings?

   • Use the onboard buttons to access the settings menu and select the reset option.

5. Does HuskyLens support custom AI models?

   • No, HuskyLens uses pre-trained models for its recognition capabilities and does not support custom models.

By following this documentation, you can effectively integrate and utilize HuskyLens V1 in your projects.