Fischer Engineering builds custom AI‑powered image‑processing systems that automate visual inspection, measurement and control on production lines. Their solutions run on industrial‑grade hardware at the edge, integrate directly with existing PLCs via standard protocols, and include full installation, maintenance and ongoing optimization services.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers often rely on manual visual inspection and measurement in production lines, leading to inconsistent quality control, low throughput, and high labor costs. Integrating advanced vision systems into existing equipment is complex, and many solutions lack real-time processing or robust industrial durability.
Solution
Fischer Engineering designs and deploys custom AI-powered image‑processing systems that automate detection, measurement, and control tasks within production environments. Their solutions are built on industrial‑grade hardware and can be installed on‑site, interfacing directly with existing PLCs and control networks. Real‑time AI algorithms analyze visual data locally, eliminating the need for cloud connectivity and ensuring low latency. The company also provides full lifecycle services, including installation, maintenance, and ongoing optimization, to keep the systems highly available and continuously improving.
Target Audience
Primary customers are manufacturers and processing plants that need automated quality inspection and material handling, ranging from small workshops to large international production facilities.
Features
- AI‑based object detection and dimensional measurement tailored to specific industry requirements
- Real‑time processing on‑edge (up to 15 FPS) with no reliance on external cloud services
- Robust industrial hardware designed for dust, vibration, and temperature extremes
- Seamless integration via Modbus TCP, Siemens communication protocols, or OPC UA
- Optional web dashboard for visualizing process data and quality metrics
- Full service model covering installation, maintenance, support, and continuous system tuning