Safe Workplaces: A Computer Vision Model
By: Anurag Aher
Tags: Technical Blog, AI, Workplace, Computer Vision, Accident

In short:

When we move to work each morning the protection and health measures are some concerns which don’t even cross our minds but if we glance around and think for a second, we do realize that although health and safety within the workplace has improved over the years, there are still an outsized number of labor place accidents happening irrespective of which field you’re employed in or as a matter of fact regardless of how near misses have occurred with you.

Unlike earlier times, we now have something called as computer vision, unlike a manual supervisor who manages by wandering around, is 24×7, not in only one spot at a time, but all told critical areas of interest. it’s the unique ability to observe how people interact with the equipment they’re operating, and materials or products they’re performing on.

No technology is completely safe and reliable, and to be effective the alerts will should occur in near real time — almost at the identical time. But given what’s at stake, computer vision may be an additive and cost-effective tool to enhance overall any protection as well as safety management system.

Diving Deeper:

For a better understanding it is important to see a few examples on how computer vision can be used in workplaces.

For an improved understanding it’s important to determine some examples on how computer vision may be employed in workplaces.

Forklift and pedestrian-related risks are identified joined of the foremost concerns for manufacturing premises, warehouses, yards, depots, etc. Using computer vision, AI algorithm helps observe forklift movement within the defined area. Alarms are raised for incidents and accidents like speeding, movements within the wrong direction, parking within the movement area, pedestrians not using sidewalks, and the other instances of non-compliance that may cause accidents.

AI and computer vision systems can monitor loads on an elevated platform. they’ll detect PPE and proper equipment usage, over-crowding on scaffolding, and even falling objects. These systems may monitor entry into exclusion zones. With relation to the growing concerns within the healthcare unit, AI and computer vision systems can measure compliance and make sure the right PPE equipment is employed to safeguard the user against health or safety risks at work doctors and healthcare workers have duties concerning the availability and use of private protective equipment (PPE) at work. this might include gloves, eye protection and safety footwear. the identical systems can monitor the employment of respiratory protective equipment, like masks.

Computer vision systems can detect the kind of lifting equipment used, and identify differing kinds of loads which are mostly utilized in automobile industries. they’ll monitor the work the lifting equipment is employed for, and supply real time warnings for workers walking/standing under suspended load.

Computer vision fire detection models are trained to detect fire at an early stage, within 10–15 seconds. Real-time alarms may be integrated with local buzzers, PA systems, display systems, email, SMS, and push notifications. These systems may detect people stuck in numerous areas of the location during a fireplace.

Computer vision and AI systems can detect employees within the hazardous zone and supply real-time warnings. The warnings could even be provided to machine operators just in case an employee is detected near the machine. AI systems can monitor the extent of maintenance, reducing the possibility of breakdowns and accidents. The system could also provide real time alerts just in case of accidents, reducing the time to produce medical help.

There are dozens of solutions that read machine and vehicle data, but only with computer vision are you able to be assured safety regulations are being followed. No technology is fool proof, and to be effective the alerts will must occur in near real time — within a second or two. But given what’s at stake, computer vision may be an additive and cost-effective tool to boost overall any safety management system.