Cognex, an industrial machine vision system provider, has expanded the capabilities of its In-Sight SnAPP vision sensor with the launch of an AI-enabled counting tool.
The software changes how food and beverage and pharmaceutical manufacturers handle counting tasks, allowing them to easily automate assembly verification and quantity checks that were previously time-consuming or prone to error.
This AI technology can also easily and accurately count challenging part types including objects of similar size, reflective and distorted parts, and objects with varying contrasts and shapes.
The ability to reliably identify and count objects ensures consistent quality control, without complex programming. Image-based training, guided setup, and embedded AI allow operators of all skill levels to quickly and effectively solve counting tasks, eliminating the need for complex setups or extensive training. Suitable for a wide range of industries, the counting tool can be set up in minutes to perform a range of tasks. For example:
- Food and beverage producers can easily count the number of food products in final packaging to ensure completeness.
- Pharmaceutical companies can verify the correct count of vaccine vials or count pills in a blister pack.
- Automotive manufacturers can quickly count modules in an EV battery pack tray to confirm proper assembly and avoid recalls.
“Using cutting-edge AI technology and our easy-to-use vision sensors, we’re now providing our customers with a counting solution that not only enhances accuracy and efficiency but also simplifies the user experience,” said Lavanya Manohar, senior vice president of products at Cognex. “We’re excited to see how this innovation will benefit manufacturers worldwide and continue making automation more accessible.”
The In-Sight SnAPP vision sensor was first released in September 2023 and is designed to solve common quality control tasks including presence/absence detection, basic inspections, classification — and now counting applications.
