I will deploy real time ai and computer vision on raspberry pi, jetson nano

United States

I speak English, Spanish

Embedded systems engineer

I'm a professional Arduino, ESP32, ESP8266, Raspberry Pi, NodeMCU, STM32, and microcontroller programmer with expertise in IoT development, smart home automation, Blynk, MQTT, Firebase, ThingSpeak, se...
About this Gig

Need your AI or computer vision model running fast and reliably on low power edge devices like Raspberry Pi or NVIDIA Jetson? I'm an expert in deploying and optimizing models for real time performance on edge hardware.


Services I Provide;

Deploy YOLOv8 / YOLOv11 on Raspberry Pi 4/5, Jetson Nano, Orin Nano

Real time object detection, tracking, and counting

Model optimization for edge; TensorRT, ONNX, TFLite

Camera pipeline setup USB, CSI, Pi Camera, RTSP stream

GPIO integration; triggers, alerts, LEDs, relays

Custom CV pipelines for robotics, surveillance, or automation

Headless deployment with auto start on boot


Tech Stack;

Hardware: Raspberry Pi 4/5, Jetson Nano, Jetson Orin Nano

Models: YOLOv8/YOLOv11, MobileNet, EfficientDet

Optimization: TensorRT, ONNX Runtime, TFLite

Libraries: OpenCV, PyTorch, TensorFlow Lite, Ultralytics


Deliverables;

Fully working, optimized code tested on your device

Model file ONNX / TensorRT / TFLite

Step by step setup guide & README

Demo video showing real time performance


Get your AI model running efficiently on edge devicesfast, reliable, and ready for real world deployment.

APIs:

Microsoft Computer Vision AI

Amazon Rekognition

Expertise:

Image processing

Classification

Software development

Programming language:

Python

MATLAB

Java

MLflow

Julia

Tools:

Jupyter Notebook

OpenCV

Excel

MLflow

SimpleCV

CVAT

Frameworks:

Scikit-learn

DeepPy

Google ML Kit

SimpleCV

PyTorch