Vision-based pick and place for testing and separating stamped parts
Gripping unsorted stamped parts in the correct position and at the same time checking for type and dimensional accuracy poses challenges for many manufacturing processes. The article shows how a smart camera with backlighting under the conveyor belt precisely detects and evaluates different components and transfers them to a pick-and-place robot in a precise position – for process-reliable separation of IO parts.
How can QR code labels be checked automatically?
With smart cameras such as weQube+ or B60, QR code labels can be automatically checked for presence, position and content match – quickly, reliably and directly integrated into the production process.
Flexibly integrate AI models into wenglor uniVision 3 with ONNX
wenglor uniVision 3 enables AI-supported image processing in industry. ONNX modules are used to precisely detect objects, automate quality controls and efficiently integrate processes.
Smart Camera or vision sensor – when do I choose what?
Smart Cameras and Vision Sensors are indispensable in industrial image processing when it comes to automated quality control, identification tasks or measurements. Both systems combine camera, evaluation and interfaces in one compact device – but what are the differences? And when is which system the right choice? What is a Smart Camera? Smart cameras are […]
How can I check best-before dates (BBD) on packaging?
Every pack of bread must be reliably checked to see whether a best-before date (BBD) is printed on it and whether this date is correct and legible. The solution is provided by a Smart Camera from the B60 series.
How can best-before dates be reliably identified in production?
AI-based image processing makes the automatic recognition of best-before dates efficient and reliable. The Smart Camera B60 with Deep OCR reads best-before dates without errors, even with glossy films, irregular surfaces and high production speeds – for maximum quality assurance and process control.