LaserCamTracker
LaserTracker is a Python-based system for real-time laser point tracking using computer vision techniques and servo control. It detects and tracks a laser point within a video feed, adjusting the position of a camera mounted on servo motors to keep the laser centered on a detected circular reference point.
Features
- Real-time laser point detection and tracking using a webcam
- Utilizes a pan and tilt setup with mounted lasers for precise positioning
- Suitable for security camera systems and experimental setups
- Detects and tracks circular reference points, adjusting the laser position accordingly
Requirements:
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Python 3.x with OpenCV and NumPy
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Arduino IDE for servo control
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Compatible webcam, Arduino uno board, 2 axis pan and tilt setup with mounted lasers(green),adapter,DC Jack,Jumper wire,Mini BreadBoard
Circuit Diagram
Setup
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Install Python Dependencies:
pip install opencv-python numpy pyserial
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Upload Arduino Sketch
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Connect your Arduino board to your computer.
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Open the Arduino IDE and upload the provided Arduino sketch (arduino_nano.ino) to your Arduino board.
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Connect your webcam to your computer and ensure it's recognized.
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Connect the pan and tilt setup with mounted lasers to your Arduino board.
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Run the Python script (Opencv_code.py) to start the tracking system:python Opencv_code.py
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Point the laser at the camera and observe how the system tracks the laser point by adjusting the pan and tilt angles.
Contributor
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Vishal Yadav
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Pushpendra Verma
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Sandeep Yadav
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Shobhit Singh