According to the US Bureau of Labor Statistics, the average annual number of work-related fatalities in the US is 3.5 per 100,000, while the US Occupational Safety and Health Administration (OSHA) claims that approximately 14 workers are injured at work every second.

While employers can significantly improve safety by enforcing the appropriate standards, it is also critical for employees to comply with safety regulations. One of the most effective ways to ensure such compliance is through the use of a VM detector.

How Does A VM Detector Work?

A VM detector or violation monitoring detector can identify non-compliance with corporate regulations of various types. Artificial intelligence has proven to be particularly effective in violation monitoring. Depending on the exact subject of the monitoring, a VM detector can be based on different technologies. For recognizing violations of occupational safety regulations, computer vision detectors are particularly powerful.

As with many AI-based systems, such a detector must first be taught to recognize visual data. VM detectors are often based on supervised classification machine learning algorithms. This means that the detector is first fed training data containing numerous examples of objects labeled as violations. After processing such data, the system can detect violations in real-time videos.

In practice, the system first detects objects of interest and then begins tracking their movements. In certain cases, it can also extract features of the object if needed. Finally, the detector classifies the objects based on specific behaviors or criteria.

What Safety Violations VM Detectors Can Identify?

Advanced VM detectors, such as the technology offered by Vumo, can be a comprehensive solution to safety violations at your workplace. Such detection systems can help you to address the following key safety issues.

First of all, it is the lack of personal protective equipment (PPE) or its improper use. For example, a VM detector can notice the absence of safety glasses, hard hats, safety footwear, vests, and harnesses.

Secondly, depending on its capabilities, a VM detector can identify a range of issues related to vehicles, including parking violations, speeding, stopping at intersections, and collisions. AI is trained for both tracking outdoor and indoor transportation.

In addition, VM detectors can provide real-time alerts prior to environment-related accidents. AI technology can detect smoke, spills, and blocked exists among other things. It can track the way equipment is used by employees and monitor their failure. Finally, such software can also pay attention to workplace ergonomics and detect unsafe postures, such as bending, twisting, or overreaching.

How Can VM detectors Increase Safety In Your Company?

Alerts, such as spills or smoke, help prevent accidents in real-time, while continuous monitoring provides a comprehensive view of safety violations. By using this information, companies can take a proactive approach to building a better safety culture and identifying safety issues that require improved employee education and training.

An additional benefit of a VM detector implementation is the reduction of asset loss, including goods, equipment, and vehicles. Better-trained employees are not only more careful about their own safety but also the safety of all assets involved in the work process.

What Industries Can Benefit From VM Detection Systems?

Virtually any industry can enjoy the advantages of VM detectors mentioned so far. One of the sectors that are particularly in need of additional safety tools is the manufacturing industry, with its assembly lines and heavy machinery. Warehouses are also full of hazards and expose employees to ergonomic injuries.

Logistics is another high-risk environment that requires more advanced safety measures. Furthermore, even retail workplaces, which seem to have fewer hazards, still have risks for ergonomic injuries and fall accidents.