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Lightweight battery-powered aircraft are ready for take-off.
Digital Tools and Vision Systems Strengthen Automation Performance
J.J. Moore // Editor
CONTACT
Austin
Lightweight battery-powered aircraft are ready for take-off.
As automation systems become more connected and data-driven, manufacturers are investing in technologies that improve visibility, simplify deployment and enhance process reliability. From predictive maintenance sensors and cloud-based machine vision platforms to high-resolution inspection cameras and 3D vision-guided robotics, these technologies are helping manufacturers reduce downtime, accelerate setup, and improve quality across assembly and production operations.
3D Vision System Simplifies Robotic Picking and Assembly
KEYENCE has introduced a 3D vision-guided robotics system designed to improve object detection and simplify automation setup. To gather 3D data, the four-camera, one-projector imaging unit captures 136 total images as the high-speed projector emits multiple striped-light patterns across the target. This enables accurate detection of parts regardless of position or orientation.
Built-in path planning automatically calculates robot motion to avoid collisions, while a simulation tool allows users to design and validate workcells before physical installation. The system supports applications such as assembly, depalletizing and machine tending, helping reduce programming time and improve picking reliability.
Keyence Corp. of America
Cloud Platform Simplifies Deployment of AI Machine Vision
TCognex has introduced OneVision, a cloud-based platform designed to simplify how manufacturers build, train and scale AI-powered machine vision applications. The system brings tools, data and workflows into a unified environment, enabling faster development and deployment across production lines and facilities.
Designed to address common barriers to industrial AI adoption, OneVision features guided workflows that reduce setup time from months to minutes, while eliminating the need for additional hardware through cloud-based delivery. The platform also enables centralized development with local customization, helping manufacturers maintain consistent performance across sites while adapting to specific production requirements.
By streamlining application development and improving scalability, the system allows manufacturers to deploy AI vision solutions more quickly, solve complex inspection tasks and maximize the value of automation investments.
Cognex Corp.
High-Resolution Cameras Improve Color Inspection Accuracy
JAI has expanded its Apex Series with three new 5.1-megapixel 3-CMOS prism-based cameras designed for high-precision color inspection. The cameras use three sensors and prism-based imaging technology to capture red, green and blue channels separately, delivering high color fidelity and eliminating crosstalk.
Along with X-Y motion, the stage can also provide diagonal and circular motion. Precise positioning is ensured thanks to an integrated, maintenance-free rolling guide. The motors stay in a fixed position as the table operates. No extra space is necessary to prevent interference, and no additional wiring or cable carriers are required.
IKO International
Sensor Enables Predictive Maintenance and Machine Health Monitoring
Banner Engineering has introduced the QM30VT3, a three-axis vibration and temperature sensor with IO-Link connectivity designed to support predictive maintenance strategies. The sensor provides high-resolution vibration and temperature data across multiple PLC architectures, with customizable data profiles to simplify integration and control logic.
Featuring true three-axis detection, the system monitors machine health regardless of mounting orientation, while onboard machine learning continuously analyzes vibration patterns to detect early signs of faults such as imbalance, misalignment and bearing wear. The compact sensor is designed for reliable operation in industrial environments and can be configured to function as a standalone vibration switch.
Banner Engineering Corp.
