Why the conventional deep learning model is broken
The conventional deep learning model is a supervised model. It takes months of time to develop and train the model before it is ready for the production line.
Do quality managers really want fully autonomous visual inspection?
Autonomous quality inspection solutions that are premised on the idea that the human user might make a mistake promise the highest level of automation. However, surely it is better to utilise the user.
RealWear Launches World's First Hands-Free, Voice-Controlled Thermal Camera
Is the only device that supports MSX® technology to enable frontline industrial professionals to conduct inspections, enhance remote support sessions and avoid equipment downtime using simple voice commands
Learn How To Protect Your Business with AI for Visual Inspection - Pleora Webinar Live April 6, 2022
This webinar will discuss 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.
Robot Solution for Automating the Lettuce Harvest
The lettuce's outer, or 'wrapper', leaves will be mechanically removed to expose the stem. Machine vision and artificial intelligence are then used to identify a precise cut point on the stem to neatly separate the head of lettuce.
Sharpening Alignment for More Accurate and Faster Machining
Matrox Imaging's robust vision software and smart camera endows CNC machine to ensure precision cuts, enhance yield rates
AI for End-to-End Quality
Artificial intelligence (AI) is gaining favor as a solution for quality problems, but many manufacturers struggle with the perceived cost and complexity of implementing new technology.
Continuous and Exacting Measurements Deliver New Levels of Quality Control
Using continuous measurements reduces or even eliminates the production of faulty products and allows for consistent and repeatable production. This used to be an impossible task for small products.
Efficient Warehouse Management: Saving Costs with Rapid Pallet Trackers and Basler ace Cameras
Artemis Vision, a company with more than 10 years of experience in quality assurance for manufacturing processes, develops vision systems for industrial automated inspection and logistics optimization that deliver reproducible and reliable results.
Reducing Manufacturing Cost and Risk with Hybrid AI
For manufacturers navigating complexities of artificial intelligence (AI), one key challenge is balancing the advantages of new technology with immediate and long-term costs.
Cap Closed! Camera-based Cap Control With Artificial Intelligence
Strong price pressure combined with high quality requirements - the beverage and bottle industry faces the classic dilemma of many industries. This is also the case in the quality control department of a French manufacturer of plastic caps.
IDS focuses on sustainability in shipping
IDS is convinced that the changeover to sustainable action is the only right way forward and tries to develop resource-saving solutions together with business partners. After all, relatively "small" changes can make a big difference - for the environment and for the company.
Three Ways Autonomous Machine Vision (AMV) Benefits Plastic Injection Moulding
Plastic injection moulding is a difficult application for machine vision. The highly reflective surface of plastics is hard to illuminate, and the fact that the same production line can create items of different colours and shapes is problematic for traditional solutions.
Mistakes are sent packing - Autonomous Machine Vision improves accuracy while reducing costs
Packaging and labels contain key information on food products and drugs. A minor mistake on either could have serious repercussions that impact a product's safety, regulatory compliance and consumers' satisfaction.
Camera Specs - Not the Frontier in the Era of AI - Autonomous Machine Vision (AMV) Offers a New Approach to Visual QA
Machine vision engineers are pushing the frontiers of camera specifications to offer solutions with incredible resolution. Yonatan Hyatt explains why Autonomous Machine Vision (AMV) is pushing the boundaries of artificial intelligence, not camera specifications.
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