You will get a custom Computer Vision pipeline to detect & analyze objects
Rising Talent
Rising Talent
Project details
Stop settling for slow AI demos. I engineer production-grade Computer Vision systems ready for the real world. Unlike basic web-based AI wrappers, I specialize in building robust, high-performance solutions that integrate with your actual hardware and workflows.
Whether you need real-time detection on edge devices (like Raspberry Pi running at 30 FPS), precise 3D/depth analysis for industrial metrology, or complex distributed systems, I have the proven expertise to deliver. I use cutting-edge tech like RT-DETR Transformers and async pipelines to ensure your system is fast, accurate, and scalable.
Whether you need real-time detection on edge devices (like Raspberry Pi running at 30 FPS), precise 3D/depth analysis for industrial metrology, or complex distributed systems, I have the proven expertise to deliver. I use cutting-edge tech like RT-DETR Transformers and async pipelines to ensure your system is fast, accurate, and scalable.
Project Type
Data Analysis, DevelopmentWhat's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 21 days |
Number of Revisions | 2 | 3 | 5 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $300
Additional Revision
+$50
Hardware/IoT Integration
(+ 5 Days)
+$300Frequently asked questions
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AA
Aysham A.
Nov 6, 2025
Image Processing Experiment
I highly recommend Gabriel. Everything went smoothly with him. He finished the work earlier than expected, delivered the project perfectly, and understood the project's confidentiality. Gabriel was very professional yet friendly to communicate with.
About Gabriel
AI/Computer Vision Engineer & Full-Stack Developer
San Salvador, El Salvador - 6:56 am local time
I architect and build complete solutions integrating cutting-edge AI (RT-DETR, YOLOv8), hardware (Raspberry Pi 5, Jetson), and robust software stacks (Python/FastAPI, React/TypeScript). My focus is on delivering high-performance, real-world applications for industrial automation, automated quality control, and real-time monitoring.
Core Skills & Expertise:
- Advanced AI & Computer Vision: Real-time Object Detection (RT-DETR, YOLOv8), Image Analysis, Model Deployment.
- Hardware Integration & Embedded Systems: Raspberry Pi 5, NVIDIA Jetson, Sensor Interfacing, Motor/Actuator Control (Servos, Steppers, DC Motors), Hardware PWM Optimization.
- Full-Stack Development: Secure & Scalable Backend APIs (Python, FastAPI), Interactive Frontend Applications (React, TypeScript), Real-time Data with WebSockets.
- System Architecture & Integration: Designing modular, reliable systems connecting hardware, AI, and software seamlessly (including remote inference & local fallback strategies).
- Database & Infrastructure: PostgreSQL/SQLite, Basic DevOps.
Featured Project: VisiFruit - Intelligent Fruit Labeling & Classification System
An industrial-grade proof-of-concept I developed end-to-end, demonstrating my ability to deliver complex automation solutions. Key achievements include:
- Implementing RT-DETR and YOLOv8 on Raspberry Pi 5 for high-accuracy fruit detection.
- Developing a robust remote inference system (FastAPI server + Async HTTP/2 client) with automatic local fallback for maximum reliability.
- Integrating precise control of multiple actuators (DC motor, servos, stepper motor).
- Building a secure FastAPI backend and a comprehensive React dashboard, featuring real-time 3D visualization of the production line.
(Video Demos & GitHub available in Portfolio Section)
My technical high school background in Electronics Technology provides me with a strong practical foundation for hardware interfacing and system integration. I am passionate about tackling complex challenges and building innovative, efficient automation solutions that deliver tangible results.
Steps for completing your project
After purchasing the project, send requirements so Gabriel can start the project.
Delivery time starts when Gabriel receives requirements from you.
Gabriel works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Data Review
We define your exact KPIs (speed, accuracy) to start training high-performance models.
