Do you want to monitor H&S in the workplace with real-time monitoring, alerts, and analytics?
Cognitiwe helps customers who need to increase the efficiency of daily operations by supplying real-time insights and data-driven predictions. Analyzing the data from our proprietary vision AI platform and IoT data provides these insights. Cognitiwe Health & Safety Monitoring supports occupational health and safety by detecting anomalies, risks, hazards, and accidents in the work environment. These help our customers to monitor operations in real-time, eliminating risks and providing a safer working environment. Overall, Cognitiwe's Health and Safety application is a powerful tool to ensure a safe and healthy working environment for your employees, which can lead to improved productivity and employee satisfaction.
Using Health and Safety Monitoring will provide you while insights over time and recognize ‘object’ images from existing IP cameras in your workplace. Cognitiwe Health and Safety Monitoring detects employees with missing PPE and class, classifies their access to certain areas, and magically restricts access.
· Predictive Vision AI: Leveraging the power of Vision AI, Cognitiwe uses past data to predict the future. Faults, and risks, are flagged before they occur.
· Boosts Companies Sustainability: We provide real-time and predictive analysis.
· Flexibility & Compliance: Works with standard in-store IP camera, no special hardware required. We comply with all regulations, including GDPR.
This solution has been validated for Azure private MEC for edge connectivity and compute capability.
Why Azure private MEC 5G?
Time is especially important in all the usage areas. In solutions such as health, safety, and security, it is necessary to analyze in milliseconds and send the result so that a person's health and even life can be saved. Likewise, the environment in which quality control is conducted in production is very fast and you must produce results by analyzing within milliseconds. All these analyzes are done on streaming video and there may be delays in normal environments. On the other hand, in environments where this analysis is conducted, distances are too great, cabling is sometimes exceedingly difficult, and connections such as Wi-Fi are inefficient.
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