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How can manufacturers enhance workforce safety and equipment management? UNX’s Workforce and Equipment Detection solution uses computer vision technologies to detect safety-related issues and create reports in dashboards. It also enables automatic alerts in case of accidents, allowing management to take immediate action.
How can manufacturers digitize and automate the monitoring of analog controls? UNX’s Analog Controls Recognition solution uses computer vision to recognize and digitize analog controls, such as signal lights, switch positions, or liquid levels in transformers. This technology enables automated substation meter reading without human operators, crucial for predictive monitoring and early detection of equipment faults.
How can manufacturers ensure compliance with safety regulations and protect their workforce? UNX’s Safety Compliance Monitoring solution uses computer vision to oversee and ensure real-time adherence to safety norms. This technology automatically detects safety violations, such as the absence of personal protective equipment or unsafe behaviors, enabling quick interventions to prevent accidents and maintain a safe working environment.
How can manufacturers efficiently track inventory and assets in real-time? UNX’s Inventory and Asset Tracking solution employs computer vision to monitor and manage inventory levels and assets. This technology automates the tracking process, reducing errors and saving time. It provides accurate, real-time data on inventory and asset location, enabling better resource management and decision-making.
How can manufacturers optimize production line efficiency and reduce downtime? UNX’s Automated Production Line Monitoring solution uses advanced computer vision to monitor production lines in real-time. This technology identifies bottlenecks, predicts maintenance needs, and ensures smooth operation. By providing insights into production line performance, it enables proactive adjustments, reducing downtime and increasing overall productivity.
How can manufacturers ensure product quality and minimize defects? UNX’s Quality Control and Defect Detection solution leverages computer vision to identify and categorize defects in real-time. This technology streamlines the quality control process, reducing manual inspection needs and enhancing accuracy. By detecting defects early in the production line, it minimizes waste and improves overall product quality, ensuring customer satisfaction and maintaining brand reputation.
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Yes, our work is compatible with the main security cameras and the main video management systems.
See more: Supported Cameras & VMS
It usually takes 4-8 weeks from purchase to start of operation.
See more: Proof of Concept
Depending on the version, it can be installed on edge devices, cloud and own servers. The collected anonymous metadata may be transmitted to third-party systems for further processing.
See more: Deployment Options
We support you in all stages, from conception to implementation and operation.
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