This cutting-edge software solution completely changes the way manufacturers perform counting chores by making it simple for them to automate assembly verification and quantity checks, which were labour-intensive and error-prone in the past. More manufacturers will be able to reliably count problematic part kinds, such as things with comparable sizes, reflecting and distorted parts, and objects with different contrasts and shapes, thanks to the ease of use that this cutting-edge AI technology offers.
“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. “We’re excited to see how this innovation will benefit manufacturers worldwide and continue making automation more accessible.”
Powered by AI, the new tool reliably identifies and counts objects to ensure 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
- 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.
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.