Machine Vision
Industrial image processing, AI, and automated quality inspection
Machine Vision systems
Machine Vision – The modern approach to industrial automation
Machine Vision enables automated visual inspection and decision-making in industrial environments. Using cameras, sensors, AI algorithms and edge computers, images and video are analyzed in real time – far faster and more accurately than a human can. The technology is used today in production lines, robotics, logistics, medical technology, energy systems and intelligent traffic solutions. These applications require specialized hardware built to handle advanced machine-vision workloads with stability, precision and long-term reliability.
What is Machine Vision?
Machine Vision is the system that enables machines to see, analyze and respond. It combines:
- Industrial cameras (USB3, PoE, GigE Vision, MIPI)
- Sensors and lighting control
- Edge computers for AI inference and image processing
- Software such as OpenCV, TensorFlow, YOLO and more
Most solutions run directly on edge PCs, as real-time requirements often do not allow for cloud latency.
What is Machine Vision used for?
Machine Vision is already the backbone of modern Industry 4.0 environments:
- Quality inspection – Error detection, surface inspection etc.
- Robotics & Automation – Robot arms use vision to grip objects, position accurately, and navigate.
- Logistics & traceability – Package sorting, volume measurement, barcodes etc.
- Production & assembly – Monitoring assembly processes, component recognition etc.
- Healthcare & laboratories – Image analysis, cell detection etc.
- Traffic & Smart City – Vehicle recognition, object detection etc.
Machine Vision reduces errors, increases speed, and provides data-driven insights directly at the source.
A selection of our Machine Vision devices
We represent several manufacturers, allowing customers to choose the platform that best matches their requirements for precision, AI performance, operating environment, and budget. Here are three selected systems, all well-suited for advanced machine-vision workloads.
JHCTECH – BRAV-7722 – AI Edge Computing System
- For heavy image processing, AI inference, and real-time analysis
- Powerful CPU with GPU/NPU acceleration options
- High-speed camera interfaces (USB3, LAN, M.2)
- Optimized for YOLO, TensorFlow, and industrial vision frameworks
- Fanless, 24/7 operation with high reliability
- Perfect for quality inspection, ANPR, and automated visual analysis.
CompuLab – EdgeAI-ORN – Hailo-based Edge AI system
- Ultra-compact, low power consumption – exceptional AI performance per watt
- Hailo-8 AI accelerator (26 TOPS)
- Perfect for real-time object detection
- Linux-optimized edge platform
- Commonly used in Smart City, transportation, and production-line applications
- When space and energy efficiency are critical.
JHCTECH – BRAV-7131 – AI-Accelerated MEC System
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For advanced image processing and AI inference
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Powerful CPU with dedicated AI acceleration
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High-speed camera interfaces (USB3, LAN, M.2)
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Optimized for OpenCV, YOLO, and TensorFlow
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Fanless design for stable 24/7 operation
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Ideal for quality inspection and optical analysis
Contact us for guidance
Are you working on a Machine Vision project, or planning to implement vision-based quality control, automation, or AI?
We are happy to assist with:
- Hardware selection
- Camera interfaces
- AI frameworks
- Linux platforms
- Software setup
- Integration into existing production systems
Kevin Peter Gade
Do you have any questions?
Feel free to reach out to us by phone, email, or through the contact form. We will return as soon as possible.