Accidents seem to be an ongoing and sometimes fatal issue throughout workplaces, whether on the production floor, building sites, or warehouses. When you add in the pandemic and the rising frequency and severity of natural disasters, workplace and population safety become really challenging.
Employers are concerned about workplace health and safety and interested in what Applied machine learning can offer. Not just for the sake of technologies but to improve workplace safety by specific applications with inherent advantages. Machine learning engineers’ expertise in applying computer vision to detect dangerous instances and integrating that data with current and upcoming sensors. To determine how objects are, what they’re on about, and when they’re functioning correctly.
What is a Safer Workplace?
A safe workplace can be based on generations of management best practices combined with a clear understanding of what hazards exist. The key is to match job tasks with worker capabilities, to allow employees to work at the safe level they are trained and licensed to perform.
Research and markets say the global workplace safety market is predicted to rise from USD 12.1 billion in 2020 to USD 19.9 billion by 2025.
Source: research and markets
Companies must maintain the safety of their employees and equipment in today’s business environment by taking some precautions, detecting and managing unsafe conditions, and following workplace safety standards while always bringing expenses under control. The safety policy aids businesses in enhancing their safety performance and securing their personnel across the board. The technology helps analyze statistics, primarily real-time field datasets obtained via mobile devices, to detect workplace risks that pose a risk of illness or accident. Furthermore, the system helps businesses modernize and bring them down a route towards personnel and environmental standards.
Computer Vision for Workplace safety
Source : industr
Businesses have expanded their Health & safety measures to enhance employee awareness of workplace hazards. As a result increased safety protocols have benefited yet accidents still happen. This is where computer vision comes into play.
For instance, bigmate, a software company designed Warny to improve worker safety and decrease accidents. Warny has Vehicle collision avoidance, safety zone alerts, and temperature analysis of humans and industrial systems in the manufacturing plant.
This solution took several years to develop. It uses both edge hardware enabling local performance and privacy and AWS cloud services. Many essential AWS services are used by Warny, including IoT, Greengrass, and Sagemaker.
It also employs intelligent computer vision algorithms to safeguard workers near potentially harmful machines like forklifts, lorries, or production equipment. It can detect fire on materials, overheating equipment, and workplace fires while monitoring, recording, and notifying machine operators about unforeseen situations, like humans in unsafe positions.
Data is transmitted from IoT sensors to the framework that processes images and objects tracking data, integrating edge-based software and cloud-based services.
The way to generate a field of view on a standard CCTV camera is an essential solution. With this same level of detail, you can identify location, distances among objects, and movement to start inspecting the environment and analyzing persons and forklift actions.
Machine learning models identify an object’s motion in real-time employing data derived using height, location, duration, and range. The system alerts the employee’s wearables (wristband or watch) if an accident occurs, with just a few milliseconds of delay. We have to thank AWS IoT Greengrass for finishing the whole process. Then displays with compiled data, helps companies evaluate their workplace safety standards.
The best way to build safer workplaces is by installing video surveillance systems. Advanced video surveillance technology can enhance the quality of in-house security personnel, thereby improving the standard of work at every level.
Computer vision has an increasing role in managing working environments. For example, we’ve seen it deployed at factories to monitor dangerous gasses, inside a tunnel to track movement in real-time, and at a factory dealing with hazardous chemicals.
Audience Intelligence enables you to measure audience impressions and protect privacy more effectively with our People Tracking and Detection Solutions. We use industry leading computer vision methods which allow us to infer a person’s demography, activity, and intent in real-time. Our models are optimized to run on the low-cost compute and camera chipsets without requiring cloud uplinks. This allows our customers to use our solution closer to the data source and gain real-time inference results and feedback.