AI on Edge Devices

Code

This project focuses on deploying lightweight AI models on edge devices such as Raspberry Pi.

Overview

The goal of this work is to move AI inference closer to the data source by deploying optimized computer vision models on resource-constrained hardware.

Main Contributions

• Lightweight model deployment on edge devices.
• Real-time computer vision inference.
• Model compression and optimization.
• Raspberry Pi-based AI experiments.

Applications

• Low-cost AI systems.
• Embedded computer vision.
• Smart cameras.
• Real-time edge inference.

Technologies

Python · OpenCV · Raspberry Pi · TensorFlow Lite · Edge AI