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I will develop edge ai, nvidia jetson, raspberry pi and computer vision solutions
Seeing the Game Differently with AI Vision
My name is Bujugear, a Sports AI & Computer Vision specialist focused on transforming sports video into actionable intelligence. I build advanced solutions in object detection, face recognition, playe...
About this Gig
Want to run AI and Computer Vision directly on edge devices without relying on the cloud?
I develop high-performance Edge AI solutions that run efficiently on devices such as NVIDIA Jetson and Raspberry Pi. Whether you're building smart surveillance, industrial automation, robotics, retail analytics, agriculture, or IoT applications, I can deliver a fast, reliable, and scalable solution tailored to your needs.
Every project is optimized for low latency, efficient resource usage, and real-time performance. I focus on clean architecture, maintainable code, and seamless deployment to ensure your solution is ready for production.
What I offer
- Edge AI deployment on NVIDIA Jetson and Raspberry Pi
- Real-time object detection and tracking
- AI model optimization for embedded devices
- Camera and sensor integration
- API integration, documentation, and deployment support.
Let's build a powerful Edge AI solution that delivers intelligent performance exactly where you need it.
FAQ
Can you deploy the project remotely?
Yes. I can assist with remote deployment, testing, optimization, and setup.
Will I receive the source code?
Yes. Source code is included according to the selected package.
Can you connect cameras and sensors?
Yes. I can integrate USB cameras, IP cameras, CSI cameras, RTSP streams, and supported sensors based on your project requirements.
Can the solution work without an internet connection?
Yes. Most Edge AI applications can run completely offline once deployed.
Which edge devices do you support?
I support NVIDIA Jetson (Nano, Xavier, Orin series), Raspberry Pi, and other compatible embedded AI platforms.
Can you optimize my existing AI model?
Yes. I can optimize existing models for improved speed, lower latency, and better hardware performance.
