Boost worker safety: Discover smart risk prevention with computer vision

With businesses shifting to advanced operations, significant safety concerns are more likely to creep into facilities. Organisations across the globe are prioritising valuable ways to reduce risks and protect their workers. As per a latest survey, it has been estimated that more than 39% of organisations prioritise safety across workplaces to avoid costly accidents. Likewise, emerging technologies like computer vision are strengthening the comprehensive EHS services.

Industries surrounding automated systems and hazardous processes offer continuous vulnerability to several events like accidents & falls. Severe fatal injuries in the workplace are commonplace, with more than 2 million non-detrimental injuries recorded in 2023 in the United States. To manage the risks effectively, organisations and facilities are embracing advanced technologies. These technologies enable continuous monitoring with prompt prevention. Red zone monitoring harnessing Computer Vision in Industrial Safety has several safety measures. Measures like surveillance on limited access areas, hazard detection, and immediate alerts assist in preventing incidents before their escalation.  

In this article, we are going to shed a major focus on the significance of red zone monitoring in modern industrial environments. Computer vision has transformed the way worker safety is determined, and in this context, readers can get a brief idea about it.

Computer vision & red zone monitoring

As a field of AI, computer vision processes visual information to curate insights on the surroundings. Computer vision systems can tirelessly monitor environments and identify different anomalies without flaws. Additionally, it can detect unsafe behaviours, hazards and ensure compliance with safety protocols in real-time. 

Red Zone Monitoring encompasses surveillance over areas across facilities where there is always some uncertain peril. Accidents can occur at any time owing to human errors and dynamic operational risks. Various companies are implementing workplace safety measures to reduce exposure to major accidents.   

Importance of Computer vision in preventing accidents in red zones  

The process of managing worker safety within facilities and hazardous settings requires effective expertise and active staff monitoring. Often, there are times when manual monitoring has errors, resulting in faulty vigilance. Computer vision systems can easily connect to existing surveillance setup in red zones. It can be configured to recognise certain factors like limited access premises, provide real-time safety alerts and PPE mandatory safety compliances. From analysing live videos in real-time to identifying unauthorised access in restricted areas, Vision AI solutions can do wonders. 

How is Vision AI influencing safety across workplaces?

Data is gathered through IP cameras that are equipped with computer vision AI  software. The captured visual data is fed into advanced AI algorithms that analyse video data to recognise patterns and potential hazards. It can prevent falls and accidents before escalation by alerting workers in real-time. Automating detection of dangerous situations, computer vision assists in optimising resources and industrial accident prevention, enabling safety compliance teams to concentrate on more prioritised rendition.     

Real-time monitoring of compliance with safety protocols

Vision AI assists manufacturing facilities and workplaces with real-time monitoring, surveillance of the workplaces. It looks for proper PPE compliance among workers and other hygiene protocols. 

Detection of unsafe behaviour

Vision AI systems can seamlessly identify any kind of suspicious behaviour in real time. Within an industrial setting, it sends real-time alerts to authorities and supervisors in case of any absence of safety gear.  

Prevention of falls and collisions

Vision AI systems are empowered with the potential to prevent incidents involving machinery. Across construction sites, for instance, computer vision can alert the operating individuals and workers who are too close to hazards in hazard-prone areas. It ensures safety in manufacturing settings and ensures workers’ safety in perilous work environments.  

Equipment monitoring 

Artificial Intelligence is capable of identifying signs of tool malfunction, damage, and need for maintenance, allowing predictive maintenance and prevention of accidents.  

Industry applications of red zone monitoring using computer vision

Construction 

Within construction infrastructure, computer vision applications are playing an immense role in redefining the way a construction business operates. Construction facilities often have a dynamic work environment comprising machinery, safety in chemical plants, a perilous environment and falling objects. People working in such construction sites are at risk of dangers from surrounding cranes, scaffolding and excavation areas. 

Computer vision enforces the safety of construction workers by tracking live site conditions and ensuring protection. Any kind of anomalies, unusual behaviour and unauthorised access can be easily detected across restricted areas, harnessing vision AI. The AI-powered systems can seamlessly adapt to changing hazard scenarios, administering real-time alerts to supervisors in case of unsafe behaviour. It sends immediate alerts in situations of proximity to heavy machinery. 

Oil & gas 

The oil and gas industry has the most hazardous work environments. Employees working in such industries continuously face risks. These units mainly surround flammable substances, high-pressure systems, heavy machinery and oil & gas spillage risks. Computer Vision for the Oil and Gas industry plays a crucial role in enhancing safety and operational monitoring in such high-risk zones. Oil and gas facility red zones mainly revolve around processing units and drilling platforms, where uncertain accidents can escalate at any time.         

Manufacturing

Several work atmospheres expose workers to risks from robotic arms, automated machinery and fast-moving assembly lines. Lack of safety measures across red zones can result in detrimental incidents. Computer vision powered by AI helps in real-time monitoring of the areas, identifying compliance with PPE requirements. Additionally, it can detect any kind of danger without authorisation. The system is designed in a way that can trigger an immediate alert and assist in preventing incidents from escalating in the manufacturing and production unit. 

Warehousing & logistics

Supply chain, logistics and warehousing workspaces are always teeming with conveyors and forklifts, often posing risks of collisions. Several computer vision systems improve safety by monitoring workers’ movements and manufacturing vehicles in real-time. Designed to identify anomalies, computer vision technology can detect unauthorised access, unsafe distances and visibility gear.                               

Healthcare sectors

Within a healthcare infrastructure, strict safety standards across high-risk areas should be maintained to prevent contagious outbreaks. Rigorous safety protocols can prevent contamination and secure staff and patients. Computer vision technology improves safety by monitoring access points, verifying PPE use and ensuring compliance with hygiene procedures. The system sends control measures and assists in safeguarding medical infrastructure and medical environments.  

Creating computer vision for worker safety, Nextbrain focuses on businesses and organisations that are constantly evolving and embracing vision AI solutions. Facilities and workplace settings that prioritise workers’ safety find it challenging to secure infrastructure with manual supervision. Computer vision comes to the rescue with its immense functionality and advanced technology. Having computer vision solutions, businesses acquire an automated approach to real-time monitoring of restricted areas, early risk detection, prompt response and many more.  

Wrapping up 

Red zones are areas restricted within industrial facilities where human intervention can turn detrimental due to a lack of safety protocols. From the time of its inception, computer vision powered by AI has functioned in various industries. From protecting workers with real-time monitoring to preventing unsafe approaches that could lead to accidents, Vision AI keeps effective vigilance over surveillance zones. 

Trying to embrace computer vision technology for your manufacturing facility? We will ensure compliance in such complicated environments. 

Connect with us for more information and expert insights on red zone monitoring in real-time, leveraging computer vision. 

Frequently asked questions

What exactly is a red zone designation in a work environment?

The red zone is considered a limited access area within an industrial work environment where there are several risks relating to potential hazards, activities and operations. 

How computer vision turns out to be a game-changer for industries?

Computer vision technology harnesses cameras and machine learning algorithms to analyse video feeds in real-time and recognise potential hazards. It can identify unauthorised entry into a red zone, suspicious behaviour within premises without authorisation, and identifying presence of objects that can be harmful. 

How does the process of computer vision operate?

With visual data capture, cameras integrated with computer vision systems leverage AI algorithms for analysing video feeds & detecting potential risks within red zones. On any detection, the system immediately triggers and sends alerts to security and safety personnel. 

Why choose Nextbrain’s computer vision model?

At Nextbrain, our model is designed to excel in accuracy, speed and inability to tackle complicated visual data. It offers superior accuracy, harnessing advanced algorithms. Automating processes ensures faster processing with increased decision-making, contributing to improved efficiency and productivity. Having industry-specific applications, its features are sophisticated, covering predictive maintenance and improved decision-making. With our vision AI technology, businesses gain valuable insights and make data-driven decisions.