Browse categories
Explore
Fiverr Pro
English
$
USD
I will integrate ai accelerator npu with mcu firmware for embedded ai inference
Edge AI TinyML Firmware for ESP32 Smart Sensors and Embedded Products
i develop embedded firmware for intelligent devices that process sensor data locally and respond in real time. My focus includes ESP32 S3 edge AI, TinyML deployment, camera and microphone inference, s...
About this Gig
I help connect supported AI hardware to MCU applications and build a reliable embedded AI inference pipeline.
My services include:
- AI accelerator and NPU integration with compatible MCU platforms
- Embedded AI firmware development and driver adaptation
- UART, SPI, or I2C communication where supported by the hardware
- Inference request handling, result parsing, and status reporting
- Host MCU and coprocessor coordination
- Communication debugging, timeout handling, and error recovery
- Integration testing, source code, and technical documentation
Why choose this service?
A working AI model is only one part of an embedded product. The host firmware must exchange data correctly, invoke inference, process results, and handle communication failures. I focus on these integration details to help you move from a development example toward a functional embedded AI application.
Suitable for Edge AI, TinyML, robotics, sensor processing, and intelligent devices using compatible microcontrollers and neural processing units.
FAQ
. Which AI accelerators and microcontrollers can you integrate?
I can assess supported combinations involving compatible MCUs, NPUs, and Edge AI platforms. Please share the exact chip or development board, SDK, and accelerator model so I can verify compatibility before accepting the project.
Can you connect an AI accelerator to STM32 or ESP32 firmware?
Yes, where the selected hardware, runtime, and communication interface support the required integration. I can help with MCU firmware, accelerator communication, inference handling, and result processing.
Do you support UART, SPI, and I2C for NPU integration?
I can work with supported UART, SPI, or I2C interfaces, depending on the accelerator and host platform. The available protocol, driver, and transfer requirements must be confirmed before development.
Can you debug an embedded AI inference pipeline that is not working?
Yes. I can investigate communication failures, incorrect inference requests, response parsing, timeouts, and firmware coordination issues using the available logs, source code, SDK, and hardware access.
Do you provide source code and documentation?
Yes. The agreed package includes the relevant source-code changes and integration notes. Documentation, testing depth, and profiling deliverables depend on the selected package and project requirements.
Can you optimize inference speed and latency?
I can measure and investigate inference latency and communication overhead where the platform provides suitable profiling tools. Significant model optimization or hardware redesign requires a separate scope assessment.
What do you need before starting an AI accelerator integration project?
Please provide your MCU and accelerator part numbers, development board, model format, runtime or SDK, communication interface, current code or error logs, and desired outcome. This helps establish feasibility and an accurate qu
