Development of an AI-based self-guiding camera using

**Project:** Development of an AI-based self-guiding camera using OpenCV, Nvidia Jetson Nano, and ESP32

**Task Description:**
The client tasked with developing a self-guiding system for a camera capable of automatically tracking and aiming at moving targets in real-time. The project required the integration of computer vision, machine learning, and microcontroller management.

**My Solution:**
1. **Hardware:** Used Nvidia Jetson Nano for image processing, ESP32 for controlling the camera and servos.
2. **Software:** Implemented an object tracking system using OpenCV and integrated it with the ESP32 microcontroller for camera movement control.
3. **Optimization:** Ensured high accuracy and tracking speed, allowing the system to operate smoothly and efficiently.
4. **Testing:** Fully tested the system in real conditions, checked the stability of operation, and ensured its reliability.

**Result:**
A fully functional self-guiding camera was created, successfully performing all assigned tasks. The client was satisfied with the quality of project execution and its effectiveness.