Embedded AI & Edge Computing Services

Intelligence. Where it matters most.
In modern industry, sending data to the cloud is often too slow or too risky. ADUK specializes in Edge AI - processing data directly on the device. We help clients integrate Machine Learning into cameras, sensors, and industrial controllers to enable real-time decision-making without internet dependency.
Our Tech Stack:

- Frameworks: TensorFlow Lite, PyTorch, Edge Impulse, STM32Cube.AI.
- Hardware: NVIDIA Jetson, Xilinx Kria/Zynq, NXP i.MX, ESP32-S3.

Computer Vision & Object Detection:

Custom algorithms for defect detection, facial recognition, and optical sorting running on FPGA or ARM processors.

Predictive Maintenance (PdM):

Analyzing vibration and audio patterns to predict machine failures days before they happen.

TinyML (Microcontroller AI):

Running lightweight inference models on ultra-low-power Cortex-M chips for battery-operated devices.

Sensor Fusion:

Combining data from LiDAR, Radar, and Thermal cameras to create a comprehensive understanding of the environment.

Get your project review & consultation for free!

Whether you want us to review your prospective projects or you want a consultation for the project that has already begun, we can help you FREE OF CHARGE.
We’ll analyze your project and will find ways where you can cut down on costs.


    What we do?

    Backed by many years of experience building embedded hardware and custom software for embedded systems, our team at ADUK GmbH helps businesses in the manufacturing, healthcare, and consumer electronics industries develop custom video and image analysis software for computer vision and machine vision systems. Our recent projects in this artificial intelligence field include a fall detection system for elderly care, a mobile app for detecting melanoma skin cancer, and an autonomous robotic lawnmower.

    What's included?

    We provide R&D product development services for computer vision systems that extract, analyze and understand useful information from a single image or a sequence of images. We use computer vision libraries such as OpenCV, optimize existing methods, and create our own algorithms based on mathematical models. Our goal is to build a system that has a high processing speed and doesn’t lose performance. For implementing computer vision projects we also use artificial intelligence techniques such as deep learning and machine learning.

    Hire Us To Get Started!

    Our team is waiting for you to discuss your vision for the perfect application.

    Help us know more about your ideas!