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I will deploy an edge ai model on esp32, arduino, or any microcontroller
About this Gig
Are you trying to run AI directly on a microcontroller without cloud dependency?
I've built and deployed a real-time helmet detection system on ESP32-CAM using Edge Impulse and TensorFlow Lite Micro achieving 97% detection accuracy running entirely on-device, no internet required. I know this pipeline deeply from both the hardware and software side.
What I can do for your project:
- Train a custom image classification or object detection model using Edge Impulse
- Deploy it on ESP32-CAM, Arduino Nano 33 BLE Sense, or similar MCUs
- Integrate output with OLED displays, serial monitor, or Wi-Fi alerts
- Optimize model for memory and speed constraints of your specific hardware
- Deliver full source code, wiring diagram, and documentation
Use cases I've worked with:
- Helmet / safety gear detection
- Defective product identification
- Gesture recognition
- Presence detection
Message me before ordering to confirm your hardware is supported and discuss your specific requirements.
Platform:
ESP32
Expertise:
Microcontrollers
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IoT
•
AI
•
Robotics
FAQ
Which microcontrollers do you support?
Primarily ESP32-CAM and Arduino Nano 33 BLE Sense. Message me with your specific board and I'll confirm before you order.
Do I need to provide a dataset?
Not necessarily. For common objects I can help build the dataset. For highly specific objects, you'll need to provide at least 50–100 sample images.
Will the model work without internet?
Yes. That's the core advantage of edge AI — the model runs entirely on-device with no cloud dependency.
What do you deliver?
Full Arduino/C++ source code, Edge Impulse project export, wiring diagram, and setup instructions.
