Advantech, Overview Partner on AI Visual Inspection

Advantech, a provider of IIoT edge hardware technology, has partnered with vision and deep-learning specialist Overview. The companies will develop an end-to-end, AI vision inspection solution that combines Advantech hardware, specifically its edge AI camera, ICAM-500, with deep learning technologies from Overview.

The partnership aims to help manufacturers improve quality control, traceability, and speed for high-quality production line operations.

ICAM-500 combines an industrial-grade image sensor, advanced LED lighting, and a variable focus lens with acquisition and AI computing capabilities. The camera is embedded with NVIDIA Jetson Nano modules, and its features enable systems integrators and software vendors to integrate AI and machine vision into applications while also performing AI automated optical inspection, AI optical character recognition, and object recognition at the edge.

The Snap Platform, Overview’s machine vision solution, can be integrated with smart cameras such as the ICAM-500 to perform automatic inspections from a programmable logic controller trigger, interval, or — in the case of video events — continuous capture.

According to Carolyn Swan, director of IoT partnerships in the Advantech IIoT Group, integrating the ICAM-500 with the Overview Snap platform creates a solution for the manufacturing industry, as Advantech’s built-in camera helps reduce latency challenges that usually occur due to the distance between IP cameras, the cloud, and AI inference systems.

“That low latency improves efficiency of on-site AI inference, creating an ideal solution for edge AI applications on the production line,” Swan said.

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Published: August 2022

Glossary

edge: The flat or angled surface, usually fine-ground, that limits the aperture of a lens or prism surface.
deep learning: Deep learning is a subset of machine learning that involves the use of artificial neural networks to model and solve complex problems. The term "deep" in deep learning refers to the use of deep neural networks, which are neural networks with multiple layers (deep architectures). These networks, often called deep neural networks or deep neural architectures, have the ability to automatically learn hierarchical representations of data. Key concepts and components of deep learning include: ...
machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
camera: A light-tight box that receives light from an object or scene and focuses it to form an image on a light-sensitive material or a detector. The camera generally contains a lens of variable aperture and a shutter of variable speed to precisely control the exposure. In an electronic imaging system, the camera does not use chemical means to store the image, but takes advantage of the sensitivity of various detectors to different bands of the electromagnetic spectrum. These sensors are transducers...

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