Search Menu
Photonics Media Photonics Marketplace Photonics Spectra BioPhotonics Vision Spectra Photonics Showcase Photonics ProdSpec Photonics Handbook

Aetina, NVIDIA Software Pairs to Improve Automated Inspections

Facebook Twitter LinkedIn Email
Aetina, an edge AI solutions provider, is using its SuperEdge AI platforms in combination with NVIDIA Metropolis for Factories to enable manufacturing-sector end users to reduce the workload of re-inspecting false rejects in automated optical inspection systems (AOIs). The AI solution is designed to enhance productivity, and it stems from a collaboration between Aetina and parent company Innodisk with NVIDIA. The collaborators seek to deploy the solution in Innodisk’s factories for advanced electronics manufacturing.

Although AOI is effective in reducing the risk of delivering defective units, there is a chance that the mechanism may misclassify flawless items as imperfect. This can lead to unnecessary re-evaluation during the assembly process. When nondefective items are mistakenly identified as defective, assembly line workers must spend additional time inspecting these items again. There is approximately a 20% chance that units under inspection will be identified as defective by AOI and, among the units marked as defective via AOI, some may actually be flawless.

The AI solution is based on NVIDIA Metropolis for Factories, which is a comprehensive collection of AI-powered workflows designed to enhance AOI in factory settings. The solution incorporates AI software from the NVIDIA AI Enterprise software suite, Siamese network-based AI models, and Aetina’s SuperEdge AI platforms powered by NVIDIA GPUs. It can help prevent factory workers from wasting time on items incorrectly identified as defective in printed circuit board assembly lines using AOI systems for product quality control, according to Aetina.

Once implemented, the AI solution identifies nondefective items among those that did not pass initial AOI inspection, which reduces the chance of misclassification. After implementation, the chance of units under inspection being marked as defective will be reduced to under 5%, without increasing the risk of misidentifying defectives as defect-free items, Aetina said.
Jun 2023
artificial intelligence
The ability of a machine to perform certain complex functions normally associated with human intelligence, such as judgment, pattern recognition, understanding, learning, planning and problem solving.
Businessartificial intelligenceAetinaNvidiaautomationopticsautomated optical inspectionAOIfactoryMetropolisinspectiondefectdetectionSensors & DetectorsAmericasAsia-PacificmanufacturingThe News Wire

Submit a Feature Article Submit a Press Release
Terms & Conditions Privacy Policy About Us Contact Us
Facebook Twitter Instagram LinkedIn YouTube RSS
©2023 Photonics Media, 100 West St., Pittsfield, MA, 01201 USA, [email protected]

Photonics Media, Laurin Publishing
x We deliver – right to your inbox. Subscribe FREE to our newsletters.
We use cookies to improve user experience and analyze our website traffic as stated in our Privacy Policy. By using this website, you agree to the use of cookies unless you have disabled them.