AI, Computer Vision & Machine Learning

We deliver computer vision solutions for object recognition, tracking, and counting, helping to automate and optimise production lines.

By deploying vision models directly on edge devices equipped with TPU or NPU accelerators, combined with a high-performance OpenCV C++ backend, systems can make fast, autonomous decisions without reliance on cloud latency.

Typical applications include:

• Automated quality inspection
• Object presence and orientation detection
• Real-time counting and classification
• Intelligent routing and rejection of products

These systems enable production outputs to be automatically redirected to the correct destinations, improving throughput, accuracy, and consistency.

We handle the full lifecycle of AI models, from data to deployment:

• Custom dataset preparation and annotation workflows
• Model training and fine-tuning for specific tasks and environments
• Quantisation and optimisation for edge deployment
• Repeatable build and deployment pipelines

Models are tuned not just for accuracy, but for speed, memory footprint, and long-term stability in production.

AI is most effective when it is tightly integrated into the systems it supports. We build end-to-end AI pipelines that connect directly to:

• Industrial automation and robotics platforms
• Existing software, PLCs, and control systems
• Edge devices and IoT infrastructures

The result is intelligence that drives real actions — triggering events, controlling hardware, and improving process efficiency automatically.