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I will develop custom machine learning and computer vision ai application
Richie
Über diesen Service
Unlock the power of visual data and AI! I am an engineer specializing in developing custom machine learning and computer vision applications designed to solve complex real-world problems.
Whether you need autonomous system logic, sensor fusion, or advanced object tracking without physical sensors, I can build standalone analytical pipeline for you. Utilizing Python, OpenCV, YOLO, and MediaPipe, I design high-precision applications for everything from automated recognition systems to spatial safety mapping and posture velocity calculation. I will deliver a highly accurate, intelligent AI application optimized for your specific operational requirements. Let's bring your AI vision to life!
IMPORTANT NOTE: PLEASE CONTACT ME FIRST BEFORE ORDERING
Lerne Richie kennen
Richie
Multi Disciplinary System Engineer
- AusIndonesien
- Mitglied seitApr. 2020
- ⌀ Antwortzeit6 Stunden
Sprachen
Indonesisch, Englisch
I am a versatile systems engineer and Python developer specializing in end-to-end automation, AI, and IoT solutions. I bridge the gap between complex data and real-world systems. My core stack includes Python, PyTorch, OpenCV, YOLOv8, and embedded platforms like ESP32 via MQTT. Whether you need algorithmic trading architectures, custom computer vision trackers, or robust hardware-software integrations, I deliver clean, optimized code. With hands-on experience in cloud deployment (AWS/GCP), I turn your complex technical requirements into functional realities fast. Let's build it!
FAQ
Do your tracking applications require me to attach physical sensors to the targets?
Not at all. I build standalone analytical pipelines. The system calculates metrics (like velocity) or tracks physical mechanics purely from visual video feeds.
What are the camera requirements to pose or mechanical tracking?
To ensure accurate spatial mapping, the application typically requires a fixed, unobstructed camera angle (such as a direct frontal position) relative to the target's orientation
Can this AI model run on small, localized hardware?
Yes, I can optimize the computer vision architecture to run efficiently on edge devices like the NVIDIA Jetson for localized, low-latency processing.
