I will do ai optimized embedded systems with hardware and firmware


About this gig
Looking to deploy real-time AI vision on Raspberry Pi, Jetson Nano, or ESP32-CAM?
I specialize in developing and optimizing deep learning models like YOLO, MobileNet, and SSD for embedded devices, perfect for smart surveillance, facial recognition, object counting, and ️ industrial automation.
With this gig, you get a fully functional AI system featuring:
Real-time object detection or face recognition
Clean, well-documented Python code
Model optimization using TensorRT, ONNX, or TFLite quantization for efficient edge deployment
Seamless integration and deployment on Raspberry Pi 4/3, Jetson Nano/Orin, or ESP32-CAM
Optional features like live video output, data logging (CSV, SQLite, Firebase), and intuitive GUI/dashboard support
️ Use cases where AI replaces human effort:
Secure, face-based door access and attendance systems
Automated industrial defect and quality control inspection
Real-time inventory counting and warehouse automation
Gesture recognition and hygiene monitoring in healthcare
AI-driven vision for smart cars and robotics
What you will receive:
Fully deployment-ready AI model and source code
Real-time video testing and demonstration
️ Data logging and cloud sync option
Get to know Fusiontechd
Innovative Aerospace and Electrical Engineering with AI and ML
- FromPakistan
- Member sinceApr 2025
Languages
English, Urdu, Arabic
My Portfolio
FAQ
What devices do you support for deploying the AI vision models?
I support Raspberry Pi (3 & 4), NVIDIA Jetson Nano and Jetson Orin, and ESP32-CAM. Models are optimized specifically for the hardware constraints of these embedded devices.
Q2: Can you customize the AI model for my specific use case?
Absolutely! I can develop custom object detection, face recognition, or classification models tailored to your unique application, whether it’s industrial inspection, security, or smart automation
Q3: What kind of data logging and output formats do you provide?
A3: I can set up real-time video streaming with OpenCV and log data in CSV, SQLite databases, or cloud solutions like Firebase, depending on your project requirements.
Q4: Do you provide support after delivery?
A4: Yes! I offer post-delivery support and performance tuning to ensure your AI vision system runs smoothly and meets your expectations.

