You will get a Raspberry Pi or Jetson computer vision prototype
Rising Talent
Rising Talent
Project details
You will get a practical Raspberry Pi or NVIDIA Jetson computer vision prototype built for real-world testing, not just a generic script.
I help clients connect cameras, sensors, Python/OpenCV code, Linux devices, detection logic, alerts, recording, dashboards, and documentation into a working proof-of-concept. This service is ideal for smart camera systems, robotics vision, security prototypes, IoT monitoring, and edge AI demos.
What sets this project apart is my hands-on approach to both hardware and software. I focus on clear communication, careful troubleshooting, and documented handoff so you understand what was built, how to run it, and what can be improved next.
Depending on your package, I can help with camera setup, motion/person detection, local recording, alert workflows, basic dashboards, source code, testing, and setup documentation.
I help clients connect cameras, sensors, Python/OpenCV code, Linux devices, detection logic, alerts, recording, dashboards, and documentation into a working proof-of-concept. This service is ideal for smart camera systems, robotics vision, security prototypes, IoT monitoring, and edge AI demos.
What sets this project apart is my hands-on approach to both hardware and software. I focus on clear communication, careful troubleshooting, and documented handoff so you understand what was built, how to run it, and what can be improved next.
Depending on your package, I can help with camera setup, motion/person detection, local recording, alert workflows, basic dashboards, source code, testing, and setup documentation.
Machine Learning Tools
Azure Machine Learning, ChatGPT, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlow, Tesseract OCRWhat's included
| Service Tiers |
Starter
$175
|
Standard
$550
|
Advanced
$1,250
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 0 | 1 | 0 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Trinity
Electrical & Electronic Engineering | Robotics
Bastrop, United States - 3:48 pm local time
I specialize in Home Assistant, Android device control (ADB), smart switches, digital displays, and embedded systems. My focus is building event-driven systems that respond instantly, operate reliably 24/7, and are engineered for real-world commercial use — not hobby-grade setups.
What I do best:
• Home Assistant architecture & advanced automation design
• Smart switch, Z-Wave, Zigbee, and WiFi device integration
• Android/NVIDIA Shield control via ADB
• Digital signage & static display control systems
• Embedded system integration (mini PCs, edge devices, Linux systems)
• Network configuration and stability optimization
• Fault-tolerant, watchdog-enabled automation systems
I approach every project with an engineering mindset: clean logic, minimal failure points, and long-term reliability. Whether it’s a single automation workflow or a full smart display control system, I build solutions that are stable, scalable, and easy to maintain.
If you need a system that works instantly, consistently, and without guesswork — I can help.
Steps for completing your project
After purchasing the project, send requirements so Trinity can start the project.
Delivery time starts when Trinity receives requirements from you.
Trinity works on your project following the steps below.
Revisions may occur after the delivery date.
Review hardware and project goals
I’ll review your device, camera/sensor details, operating system, project goals, and expected output so we can confirm the best technical approach before building.
Confirm prototype scope
I’ll clarify what will be included in the prototype, such as camera setup, detection, recording, alerts, dashboard output, or documentation.