I will develop, program raspberry pi ai camera with opencv and tensorflow yolo

Stop paying monthly fees for dumb cameras. I build Raspberry Pi AI cameras that see, understand, and alert100% local, zero subscriptions.

What You Get:

Raspberry Pi 4 with Camera Module running OpenCV motion detection and YOLO object recognition at 1-30 FPS depending on package. Your system detects people, vehicles, animals, or custom objects with bounding boxes, tracks movement trajectories, and sends real-time alerts without cloud dependency.

My Edge:

I optimize every layerhardware setup with PoE and cooling, OpenCV algorithms for your specific lighting, TensorFlow Lite quantization for speed, and Edge TPU compilation for 30+ FPS performance. From basic motion alerts to multi-camera enterprise deployments with Kubernetes scaling.

Deliverables:

• Raspberry Pi hardware config (headless to industrial-grade)
• OpenCV computer vision (motion to optical flow tracking)
• YOLO/MobileNet AI models
• Dashboards (Flask to React.js with mobile apps)
• Cloud integration
• APIs

Speed Options:

1-3 FPS on Pi CPU, 5-10 FPS with TFLite optimization, 15-30 FPS with Coral TPU acceleration.

KINDLY MESSAGE ME SIR/MA, FOR YOUR PROJECT ANALYSE, AND IF YOUR PROJECT IS DIFFER FROM THIS, YOU CAN CONTACT ME.