ProjectsSVARC: Artificial Vision System for Competition Robots

SVARC: Artificial Vision System for Competition Robots

SVARC is an autonomous mobile robot designed to identify objects in real time using computer vision, color segmentation, and sensors. The system captures images with an ESP32-S3-WROOM CAM camera, sends them via UDP to a computer for processing, and based on detection and estimated distance to the target, decides movements such as moving forward, turning, or stopping. Additionally, it integrates a 3D-printed chassis, four-wheel drive, infrared and distance sensors, and a microcontroller-based control system to operate in competitive environments.

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Total Technologies

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Main features

Technologies used

PythonTensorFlowOpenCVYOLOArduino IDEThonnyProteus
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Main features

Automatically detects objects using computer vision and color segmentation.

Calculates the distance to the object in real time to decide the robot's action.

Transmits fragmented images via UDP for processing on a computer.

Executes autonomous movement with decisions such as moving forward, turning left, turning right, or stopping upon reaching the target.

Integrates distance and infrared sensors to improve navigation and environment detection.

Uses a visual interface to monitor detection, object contour, and estimated distance.

Built on a modular physical platform with a 3D chassis, four-wheel drive, and microcontroller control.

Any questions?