Thursday, 8 October 2020

AI for workplace safety and productivity: how does it fit?

- Apoorva Verma

Even with safety regulations and procedures in place, accidents and incidents remain a regular occurrence and continue to be a major challenge for employers, in almost all industries, across the globe. The future outlook of moving towards an AI-enabled future is here. Today, certain domains under AI come into play that can predict accidents and mishaps slightly before they occur.

The advent of COVID pandemic has catalysed the adoption of AI amongst businesses. As most businesses are under the pump to respond effectively to the post-COVID-19 environment, they aim to take all possible positive steps to maintain the safety and well-being of their workforce. However, the challenge is to manage workplace safety and productivity with their existing portfolio of assets, in some cases with even fewer resources and budget. In such a scenario, knowing how workplace safety can be enhanced with AI can be helpful for most employers.


AI provides us with more data and intelligence than ever before, and our ability to utilise this data could enhance business operations manifold. There is a subdomain of artificial intelligence (AI) called computer vision that can be best used for workplace safety and productivity management.

So how does it work and is it easily implemented? 

Most people are familiar with CCTV cameras, they are omnipresent and quite practical for a range of different industries. 

We have developed IRIS, our computer vision technology platform that analyses live video feeds from these CCTV cameras using deep learning and neural networks. It has use cases across various industries and verticals.

IRIS has allowed for greater understanding of work environments and even reducing accidents by a significant margin. It can also be integrated into manufacturing maintenance, quality and production systems to alert workers when they need to check a machine or perform a quality check. 


It raises alarms according to the use case it’s trained for – such as identifying PPE and face mask compliance, social distancing, damage, pilferage, oil spillage, fire, potential fall of a heavy object from height, an unauthorised entry in a restricted area, and so on. IRIS also generates hidden insights on efficiency and productivity in terms of space utilization, MHE utilization, machine utilization, etc. You can get an overview of various other use cases here.


Alarms are raised via WhatsApp, push notifications, or to a control room, along with an image and location making it easier to pinpoint where the incident may have taken place and to enable a faster response. A comprehensive data analytics is available to stakeholders via the IRIS app.


It can bring benefits in terms of cost reduction, improved efficiency and advanced workplace safety. Data insight is key for understanding the risks of workplaces and efficiency of various machines, assets and workforce. It enables better risk management decision-making.


Lastly, the ability to monitor occupational fatigue or hazardous environments more efficiently can be a huge value addition for both the workers and the employer. 


Implementing this technology is easy and scalable as it works with any existing CCTV infrastructure and provides the potential for minimising, or even preventing, workplace incidents and injury. It also measures the efficiency and productivity of man, machine, and space without a bias. 


How can we secure your workforce and premises? Get in touch with Integration Wizards to discuss your requirements.