Businesses everywhere are anxious to get back to work.

As this happens, enterprises are adding the layer of monitoring body temperatures of anyone entering the work facility. Doing so offers a critical first line of defense to minimize health risks to staff.

Think about this from a practical, use-case perspective. How does this happen?

Real-time, AI-based video analytics enable thermal or infrared (IR) cameras at entry points of facilities to screen body temperatures and generate alerts when they register high levels—alerting you to assess that person and ensure they’re not posing a risk to others.

See how edge computing is used to identify elevated body temperatures of individuals as an indicator of potential unsuitability for work:

Explore other use cases

• Crowd density measurement
• Face mask detection
• Social distancing scoring

Here’s how it works

Real-time, AI-based video analytics enable thermal or infrared (IR) cameras at entry points of facilities to screen body temperatures and generate alerts when they register high levels—alerting you to assess that person and ensure they’re not posing a risk to others.

IBM Edge Application Manager places analytical workloads with edge-enabled cameras and the system sends the results to the IBM Maximo Worker Insights platform.

The resilience and privacy are built into the detection process. It doesn’t share personal identification data, and there are no transmission or processing costs.

Innovations like these will help you protect your workers and customers and the healthy growth of your business.

Ready to learn more? Find out how IBM help you act on insights closer to the source of data, and accelerate your safe return to work.