Cognex has launched its In-Sight 3800 Vision System for high-speed production lines – reportedly offering an extensive vision toolset, powerful imaging capabilities, and flexible software for various inspection applications.

The system’s vision tools utilise traditional rule-based algorithms and AI-based edge learning technology to solve both deterministic tasks with specific parameters and tasks with high variability. These features are said to be easy to set up and use with a series of training images for operators to reference.

Like all In-Sight products, this model is powered by In-Sight Vision Suite software, providing both EasyBuilder and Spreadsheet development environments. Customers can apparently interact with the EasyBuilder interface with intuitive point-and-click controls, while Spreadsheet can finetune job parameters for advanced or highly-customised projects.

“The In-Sight 3800 offers twice the processing speeds of previous systems, performing tasks like a quality inspection in as little as one-third of a blink of the eye,” said Lavanya Manohar, vice president of Vision Products. “This added power allows users to maximize throughput and accommodate faster lines while delivering the high accuracy that they have come to expect from the In-Sight product line.

“Flexible development options allow users to easily modify their application for new or changing requirements. In doing so, In-Sight 3800 offers a scalable solution for addressing both current and future factory automation needs.”

“When we selected Cognex, we were under the assumption that the processing time of the In-Sight 3800 would be 30% faster than the current In-Sight 7900 vision system being used,” said Nicolas Chomel, technology development director at current In-Sight 3800 customer SIDEL. “However, during qualification tests, the In-Sight 3800 proved to be 50% faster in our application.”

Earlier this year, Recycleye received a further $17 million in Series A funding from DCVC; the money will apparently contribute to the improvement of its AI-driven waste-picking technology, which combines computer vision and robotics to scan and identify objects at a reported 60 frames per second.

This year’s interpack will also see Imago Technologies display its deep learning-based embedded vision system, while Shemesh Automation’s TKS-B100 uninterrupted bottling line and ATTILUS capping machine also contain advanced vision systems for their respective functions.