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.

Simplifying AI Deployment for Quality Inspection

In the vision market, we're really at that initial AI and machine learning phase. AI for inspection excels at locating, identifying, and classifying objects and segmenting scenes and defects, with less sensitivity to image variability or distortion.

The Future is Here with Robot Guidance Systems

Manufacturers are facing a number of challenges, but perhaps the biggest of them all is the implementation of automated material handling solutions. SICK, Inc. has the answer to this problem with a system-solution approach.

Machine Vision System Factors

There are many factors to consider when deciding on a vision system in your automation system. Three of the biggest are hardware, lighting, and lenses.

AI-powered Cameras in Factories to Find Defects

Instrumental is attacking the 20 to 35 cents of every $1 spent in manufacturing that is wasted. That waste comes from literal scrap at the various factories in the process, returns, mistakes, extra experimentation, travel, and engineering time that wasn't used efficiently..

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