Real Time Artificial Intelligence


What is Real Time Artificial Intelligence?

Real time artificial intelligence is a subfield of AI that deals with the processing of information as it comes in. 

This means that real time AI systems can 'learn' on the fly and make decisions without human intervention. This type of AI has many potential applications, such as detecting if workers on-site are wearing PPE.

Artificial Intelligence (AI) has come a long way since its inception in the 1950s. It is now being used in a variety of industries, from retail to healthcare. And while AI is still in its early stages of development, it shows great promise in the workplace safety sector.

The Importance of Real Time Artificial Intelligence

Put simply, real-time AI is a type of AI that can analyze and act on data as it comes in, without human intervention. In other words, it can automatically adapt to changing conditions and make decisions on the fly. 

Real-time AI is made possible by a combination of fast computing power, sophisticated algorithms, and huge amounts of data. Together, these elements allow computers to learn at an accelerated rate and make decisions with a high degree of accuracy.

In industrial facilities or construction sites, where there are a lot of moving elements, real time artificial intelligence can immediately detect if workers are wearing safety gear.

By processing this information in real time, the system can send notifications or alerts, thus averting a potential safety incident. 

Previously, companies had to rely on ethnographic approaches such as visual inspection, which are generally unreliable.

When it comes to workplace safety, one of the most important things employers can do is identify potential hazards before they result in an accident or injury. This is where real-time artificial intelligence comes in. 

By connecting directly to a company’s CCTV network, AI can detect potential hazards as they happen and send alerts to employees so they can take action to avoid them.

For example, let's say an employee is working with a dangerous piece of machinery. AI can be used to monitor the employee's movements and sound an alarm if they are in danger of coming into contact with the machine. 

Or, if an employee is working in a hazardous area, AI can be used to monitor environmental conditions and send an alert if conditions deteriorate to the point where it's no longer safe for the employee to be there.

Benefits of Using Real Time Artificial Intelligence

The use of real time artificial intelligence to improve workplace safety is becoming increasingly common. Here are some of the many benefits that it offers.

Leveraging Data to Improve Safety Conditions

One of the most important ways that AI is being used to improve workplace safety is by leveraging data to identify trends and areas of improvement. 

With the help of data analytics, businesses are now able to track employee injury rates, identify common hazards, and implement preventative measures to reduce the likelihood of accidents occurring. 

By utilizing data, businesses are able to create a safer work environment for their employees which helps to boost morale and improve job satisfaction levels.

Advanced AI tools are capable of generating reports regularly, giving EHS teams greater insights into the organization’s overall safety performance

Improving Emergency Response Times

Another way that AI is helping to improve workplace safety is by reducing emergency response times. In the event of an accident or injury, every second counts. 

By leveraging AI-powered automation, businesses are now able to dispatch emergency services much faster than before. 

This is especially beneficial for businesses that operate in remote locations or have employees working off-site. 

With faster response times, employees can receive the medical attention they need much sooner which could potentially save lives.

For instance, in case of an injury to a lone worker, the AI can immediately detect situational changes, and send alerts to notify EHS teams, thus prompting swift action which could potentially be lifesaving.

Empowering EHS Teams

The data gathered by AI powered tools and the reports generated can help EHS teams make more informed decisions about safety in the workplace. 

This data-driven approach to making decisions helps organizations make the workplace safer and to identify areas that pose a higher risk and take steps to mitigate or manage these risks. 

Protex AI Uses Real Time Artificial Intelligence to Improve Workplace Safety

Protex AI uses real time artificial intelligence to monitor areas, including construction sites, warehouses, manufacturing facilities and ports.

It connects directly to the existing CCTV network, so there’s no need to invest in additional infrastructure. 

Protex AI uses drag and drop functionality for defining custom safety rules, allowing safety teams to use their definition of acceptable risk to improve safety performance.

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'AI’s Role in Promoting a Proactive Safety Culture'