The HuskyLens, a compact and intelligent vision sensor, has become increasingly popular among robotics teams, including those participating in the FIRST Tech Challenge (FTC). This versatile device simplifies the implementation of machine vision in robotics, offering features like object tracking, face recognition, and line tracking. In this guide, we’ll walk you through the process of integrating and using the HuskyLens in your FTC robot.
What is the HuskyLens?
HuskyLens is an AI-powered vision sensor that comes with built-in algorithms for various vision-based tasks, such as:
- Object detection and tracking
- Color recognition
- Line following
- Tag (e.g., QR code or AR tag) detection
- Face recognition
Its ease of use stems from its touchscreen interface and compatibility with communication protocols like UART (serial) and I2C, making it an ideal choice for FTC teams.
Why Use the HuskyLens in FTC?
In FTC, automation and precision are key to scoring high. The HuskyLens can significantly enhance a robot’s functionality by:
- Improving Autonomous Operations: Detect and interact with game elements during the autonomous period.
- Enhancing Object Recognition: Identify game pieces, navigation markers, or custom tags.
- Simplifying Coding Efforts: Its pre-built algorithms reduce the need for complex programming.
Step-by-Step Guide to Using the HuskyLens for FTC
1. Understanding Game Requirements
Before integrating HuskyLens, evaluate the FTC game manual to identify opportunities where machine vision can be advantageous. Common applications include:
- Detecting cones, cubes, or other game pieces.
- Following lines on the field for navigation.
- Reading custom tags for localization or instructions.
Setting Up the HuskyLens
- Powering the Device: HuskyLens requires a 5V power supply, typically provided via the FTC control hub or an external power bank.
- Connecting to the Robot: Use either UART or I2C communication to interface with your robot’s control system. Most FTC teams use the REV Robotics Control Hub, which supports both protocols.
- Firmware Update: Ensure the HuskyLens is running the latest firmware for optimal performance and compatibility.
3. Training the HuskyLens
HuskyLens allows on-device training for specific tasks:
- Object Recognition: Point the HuskyLens at the object and press the button to teach it to recognize the object. Repeat the process for additional objects.
- Line Following: Use the line-tracking mode to teach it the desired path.
- Tag Detection: Present tags to the sensor and train it to recognize their patterns.
4. Integrating with the FTC Robot
- I2C Configuration:
- Connect the HuskyLens to the REV Control Hub using an I2C cable.
- Configure the I2C bus in your FTC robot configuration file.
- UART Configuration:
- Use the serial port on the REV Control Hub for UART communication.
- Set up the baud rate (default: 9600) in your code.
5. Programming the HuskyLens
FTC programming typically uses Java through Android Studio. Here’s how you can interact with the HuskyLens:
- Use libraries or SDKs like OpenCV if advanced vision processing is required.
- Write code to parse data from the HuskyLens using I2C or UART protocols.
- Implement logic to act on the detected objects or patterns.
Tips for Success
- Optimize Training Conditions: Train the HuskyLens in lighting conditions similar to the competition environment.
- Filter Noise: Ensure the field and surroundings are clear of objects or colors that might confuse the sensor.
- Test Extensively: Validate the HuskyLens’ accuracy and reliability in recognizing objects or following paths.
- Backup Strategies: Have a fallback plan if the sensor fails due to unexpected lighting or field conditions.
Practical Applications in FTC
1. Autonomous Path Navigation
Use the line-following mode to navigate the robot to specific zones during the autonomous period.
2. Game Element Identification
Train the HuskyLens to recognize game pieces by shape or color, ensuring efficient pickup and placement.
3. Custom Tag Reading
Place custom AR tags on the robot or field to enhance localization and strategy execution.
Conclusion
The HuskyLens is a powerful tool that simplifies complex vision tasks, making it a valuable addition to any FTC robot. By following the steps outlined above, teams can integrate the HuskyLens effectively, boosting their robot’s capabilities in both autonomous and tele-operated modes. With proper training, integration, and testing, the HuskyLens can be a game-changer for your FTC team.