Cognex

Hardware : Sensor Systems : Machine Vision

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Natick, Massachusetts, United States

NASDAQ: CGNX

The world’s leading provider of vision systems, software, sensors, and industrial barcode readers used in manufacturing automation. Cognex vision helps companies improve product quality, eliminate production errors, lower manufacturing costs, and exceed consumer expectations for high quality products at an affordable price. Typical applications for machine vision include detecting defects, monitoring production lines, guiding assembly robots, and tracking, sorting and identifying parts.

Assembly Line

How OSARO used Cognex to solve a tricky barcode reading challenge for Zenni Optical

Cognex Brings Scanning Expertise to OSARO Partners Alliance

📅 Date:

🔖 Topics: Partnership

🏢 Organizations: Cognex, OSARO


OSARO®, a global leader in machine-learning-enabled robotics for e-commerce, has welcomed Cognex Corporation (NASDAQ: CGNX), the leader in industrial machine vision, into the OSARO Partners Alliance, an ecosystem of expertise aimed at delivering optimal automation solutions to customers. By integrating Cognex DataMan fixed-mount, image-based barcode readers into the OSARO Robotic Bagging System, OSARO solved a difficult technical challenge for Zenni Optical.

The system demonstrated compelling ROI for one of the world’s top eyeglass retailers by solving an ongoing challenge. Zenni’s signature translucent blue eyeglass cases had stymied scanners from several OEMs that were unable to read barcodes through the plastic cases. OSARO vetted several suppliers before selecting Cognex DataMan readers, which achieved 99% accuracy and read rates, while increasing throughput by 80%.

Read more at OSARO Resources

Cobots Install Cable Ties

📅 Date:

✍️ Author: Ciro A Rodriguez

🔖 Topics: Cobot, Worker Safety

🏢 Organizations: Universal Robots, OnRobot, Cognex


The cobot program for installing the cable ties was designed in Polyscope, Universal’s programming software. The program works for two different harness assembly boards.

Finally, we did an ergonomic analysis of the new cable tie installation process using RULA and JSI. After measuring the angles of various body parts, the values of Groups A and B were calculated according to RULA. The value for Group A was 3, and the value for Group B was 4, resulting in a final score of 4. This score is significantly lower than the original manual operation. Similarly, the JSI for the automated station was 4.5, which is lower than the risk level for the manual operation. Our project clearly shows that cable tie installation task could be automated, improving ergonomics.

Read more at Specright

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