The In-Sight 2800 Detector for logistics is developed by Cognex Corporation, a specialist in industrial machine vision.
In-Sight 2800 Detector, AI based item detection with edge learning technology
Built upon Cognex’s In-Sight platform, the In-Sight 2800 Detector leverages AI-based edge learning technology to automate sortation processes and improve the accuracy of logistics inspections.
“The In-Sight 2800 Detector represents a breakthrough in logistics innovation,” said Shweta Kabadi, Cognex Vice President, Solutions. “Edge learning-based inspections will reduce cost, increase throughput, make AI accessible to any sized facility, and ultimately accelerate the journey towards greater warehouse automation.”
The In-Sight 2800 Detector tackles challenging item detection applications including checking whether an item is present on ship sorters, within totes or trays, classifying packaging types, and identifying process issues like conveyor jams. Edge learning technology even detects items on complicated or low-contrast backgrounds.
Less than 15 minutes to set up the In-Sight Detector
Setting up the In-Sight 2800 Detector takes less than 15 minutes. The AI based item detection with edge learning, the training takes place on-device and only requires a small image set, without the need for a skilled engineer. Facilities can reap the benefits of this technology quickly and avoid costly downtime.
“With the In-Sight 2800 Detector, we were able to immediately see products that could not be detected by other solutions,” said Dave Bodenheimer, VP, Research and Product Development at SDI Industries Inc, a Cognex customer. “Our customers have been very pleased with the results. The In-Sight 2800 Detector is a game-changer for presence/absence, detection, and simple classification.”
Info about Cognex Corporation
Cognex Corporation designs and commercializes technologies that address some of the most critical manufacturing and distribution challenges. They are a leading global provider of machine vision products and solutions that improve efficiency and quality in high-growth-potential businesses across attractive industrial end markets. Their solutions blend physical products and software to capture and analyze visual information, allowing for the automation of manufacturing and distribution tasks for customers worldwide.
Machine vision products are used to automate the manufacturing or distribution and tracking of discrete items, such as mobile phones, electric vehicle batteries and e-commerce packages, by locating, identifying, inspecting, and measuring them. Machine vision is important for applications in which human vision is inadequate to meet requirements for size, accuracy, or speed, or in instances where substantial cost savings or quality improvements are maintained.
