By dividing the data stream into smaller parts and processing them together, the system can handle larger volumes of data in a shorter amount of time, increasing overall productivity and throughput.
Pleora’s zero footprint eBUS Edge embedded solutions allow manufacturers to easily design, prototype, and launch new GigE and USB3 Vision cameras to address opportunities more quickly - minimizing risk, and reducing costs.
New Pleora external frame grabber enhances the usability of Skoopia block cameras by empowering designers to incorporate them as native GigE Vision cameras.
An automotive component manufacturer employs a machine vision system to check parts for chips, defects, or broken edges but added Vaira’s AI-based visual inspection app to support faster, more consistent, and traceable decisions during final manual review.
A manufacturer of high-end mission-critical components for aerospace, defense and medical markets uses Vaira’s suite of scaleable AI-based apps to help improve its traceability and product return processes.
Artificial intelligence (AI) has received a lot of attention over recent years. It has also brought awareness to traditional machine vision processes in manufacturing and industrial automation.
This webinar discusses how two manufacturers – a distillery and an electronics assembly operation – are using camera-based visual inspection to protect their brand and make manual processes repeatable, consistent, and traceable.
Pleora's Visual Inspection System brings AI-based decision support to visual inspection and assembly processes. This interactive, on-demand demo will let you use the system to inspect an electronics board to spot product differences and generate automated reporting on manual inspection.