What is Predictable Movement Monitoring?

‍

Predictive movement monitoring is a health and safety management system used to monitor the movements of workers. 

It’s designed to help EHS managers protect their teams from accidents in hazardous work environments, such as construction sites, oil drilling rigs, and factories. 

By using predictive analytics to analyze workers' movements and predict potential risks, PMM can help reduce workplace accidents and create a safer working environment.

How Predictable Movement Monitoring Works

‍

Predictive movement monitoring is an advanced form of motion detection that uses predictive analytics to identify potential hazards before they occur. 

It uses sensors, AI powered cameras, and other data-capturing technologies to track the movements of individual workers or groups of people in real-time. 

This information is then analyzed for patterns that could indicate that a risk may be about to occur. 

For example, if multiple workers are in close proximity or moving too quickly around a heavy piece of machinery, predictable movement monitoring can detect this and alert the appropriate personnel so they can take action before an accident occurs.

AI cameras are commonly used for predictive movement monitoring. AI workplace safety systems can connect to existing CCTV networks, allowing companies to monitor worker movements and identify any risks. 

In case any risky behavior is detected, it is automatically recorded and saved for review later on by EHS teams. This allows companies to ensure safety in the workplace, without having to constantly have someone monitor the cameras.

The technology behind predictable movement monitoring is based on a combination of machine learning algorithms and sensor-based data collection. 

Data is collected from devices like cameras, accelerometers, gyroscopes, and magnetometers which measure the speed, acceleration, direction, and orientation of a body in motion. 

This data is then fed into an algorithm which looks for patterns in the movements that indicate potential areas of concern.  

The algorithm also takes into account factors such as age, gender, weight, previous injuries or conditions, current level of physical activity, etc., all of which can impact how an individual responds to certain types of movements. 

Once the algorithm has analyzed the data, it produces a report which highlights any areas of concern that may need further investigation or adjustment.

The Benefits of Using Predictable Movement Monitoring

‍

Predictable movement monitoring is based on the idea that, by looking at employee behavior, you can anticipate and prevent accidents from occurring. This system has many benefits for employers and employees alike, especially when it comes to occupational safety and health.

Safety Improvements Through Early Detection

Predictable movement monitoring is designed to identify patterns that could indicate unsafe conditions in the workplace, such as repetitive injuries or incidents. 

By detecting these patterns early on, EHS teams are able to intervene with corrective measures before the situation escalates. This can help reduce or even eliminate dangerous events from occurring, thereby improving overall safety in the workplace.

Risk Mitigation

Data-driven analytics provide EHS teams with an in-depth understanding of how risks are distributed throughout their organization, allowing them to prioritize areas of risk mitigation accordingly. 

By focusing on areas with higher potential hazards first, EHS teams can better allocate resources and personnel towards preventive measures that will result in safer working conditions for everyone involved. 

With predictable movement monitoring, companies can take a more proactive approach to risk mitigation, instead of using lagging indicators and being more reactive once a safety event occurs. 

By identifying potential hazards before they occur, employers can take steps to ensure that their employees are not exposed to dangerous situations. This helps protect both employees and employers from any potential liability should an accident occur.

Improved Productivity

Another benefit of predictable movement monitoring is its ability to increase productivity in the workplace. By reducing the risk of injury, it allows employees to work more efficiently since they don’t have to worry about potential dangers around them. 

This also helps reduce downtime due to injuries or accidents as well as morale issues that could arise from unsafe working conditions.

Improved Training Programs

By using predictable movement monitoring, employers can get an accurate picture of how their employees interact with each other and their environment in real-time. 

This information can then be used to develop effective training programs that will help teach employees how to better recognize and avoid hazardous situations in the future. 

It also helps employers assess new hire performance, so they know who needs additional training or further instruction on safety procedures.

Use Protex AI for Accurate Predictable Movement Monitoring

Protex AI allows companies to gather actionable insights about overall safety performance by plugging into their existing CCTV networks. 

Using computer vision and artificial intelligence, Protex AI allows companies to use predictable movement monitoring and identify behaviors before they pose a risk. 

It automatically records safety events and tags them, allowing EHS teams to carry out extensive reviews later. It even supports markdown, allowing companies to share insights with other stakeholders and make informed decisions. 

‍