AI and Computer Vision: Top 5 Use Cases of Safety Observations Software
Workplace safety is a critical concern for industries worldwide. Whether it’s a bustling construction site, a manufacturing plant filled with heavy machinery, or the high-risk environment of drilling rigs, hazards are always present.
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Yet, the traditional methods of safety observations—manual reporting, delayed data, and incomplete risk assessments—have struggled to keep up with the fast-paced environments they’re meant to safeguard.
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As per the U.S. Bureau of Labour Statistics, in 2022, 5486 fatalities from work injuries were reported which saw a 5.71% rise from 2021. Interestingly, the year marked 267 fatalities from suicide which has also increased by 13.1%.
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These staggering numbers highlight the urgent need for industries to evolve from outdated safety practices to advanced, AI-powered solutions. Even leading companies such as Toyota Motor Corporation , 壳牌 , and 通用电气 have already begun using AI in their safety observation systems, reducing accidents and improving compliance.
But how exactly does AI-powered safety observation software help?
Well! It is advanced algorithm-based tools such as computer vision technology, Generative AI, and AI video analytics that make the process smoother and more accurate.
viAct’s AI-Powered Safety Observations Software
viAct has been continuously involved in driving the innovative power of AI for workplace safety. Focusing on labour-intensive industries, the AI-Powered Safety Observations Software is targeted towards reducing the burden of EHS managers and increasing workplace safety.
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Let's dive into five core benefits and use cases of viAct’s AI-powered Safety Observations software and explore how it’s revolutionizing safety across industries.
1. Instant Hazard Detection and Reporting
Safety hazards can occur at any time and in any corner of a worksite. Traditional methods often result in delays in identifying and reporting hazards, but AI changes that dynamic by enabling instant, real-time detection and reporting.
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The incident response time for AI-powered Safety Observations software was reduced from 3 hours to 3 minutes. These precious 3 minutes not only detect and alert safety teams but also create a root cause analysis and detailed audit outlay for the future.
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Suppose in the construction industry, viAct’s computer vision technology enabled Safety Observations Software for workplace safety monitors job sites around the clock. If a worker fails to wear PPE (Personal Protective Equipment), such as helmets, vests, or safety harnesses, the system detects the breach immediately, triggering an alert to the site manager for immediate action.
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This prevents accidents before they happen, safeguarding workers in high-risk environments. viAct’s AI alerts to supervisors for PPE non-compliance have helped reduce on-site injuries by over 80%.
2. Enhanced Visibility into Daily Risks
One of the most critical aspects of workplace safety is knowing what risks are present in real-time. With AI video analytics-enabled Safety Observations Software, EHS managers gain precise visibility into daily operations and potential hazards, allowing them to make proactive decisions.
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In manufacturing plants, viAct’s AI-powered safety system can identify risky behaviors, such as workers standing too close to high-speed machinery or bypassing danger zones. ?It can even detect operator distraction when being engaged in moving vehicles such as forklifts, pallet jacks, or loading trucks on a busy factory floor.
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This immediate visibility into unsafe behaviors ensures that corrective actions are taken before accidents occur.
3. Customizable Safety Observation Forms for Industry-Specific Needs
Different industries face unique safety challenges, which means that a one-size-fits-all safety observation solution rarely works. viAct’s AI-powered Safety Observation software offers customizable observation forms that can be designed for specific risks, enabling more targeted safety interventions.
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In the mining industry, terrain stability and equipment safety are top concerns. viAct allows mining companies to design observation forms that specifically address risks like equipment malfunctions or ground instability, ensuring that the most pressing hazards are consistently monitored and managed.
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The digital permit to work (PTW) engraved in the AI-powered EHS monitoring system helps to digitize the permits which in manual forms consume much time. The ability for supervisors and safety teams to access them at any time using a centralized management platform extends the generation of safety permits even beyond the physical worksites.
4. Efficient Corrective and Preventative Action (CAPA) Tracking
It’s not enough to detect a hazard—you need to track the corrective and preventative actions (CAPAs) that follow. Using viAct’s Generative AI-enabled Safety Observations Software, CAPA tracking becomes streamlined and efficient.
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Once a hazard is detected, viAct’s software automatically initiates the CAPA process. Each step, from the initial reporting to resolution, is documented in real-time. Generative AI plays a pivotal role in automating data entry, assigning tasks, and ensuring all actions are followed through.
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A standout feature of the Generative AI solution is viGent, its conversational AI chatbot. viGent simplifies CAPA tracking by interacting directly with safety team members, offering a conversational interface to access critical safety information.
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EHS managers or workers can simply ask the safety chatbot viGent about the status of any CAPA in progress.
For example, “Has the issue with the faulty safety valve been resolved?” The chatbot will provide real-time updates, allowing for quick follow-ups without digging through paperwork or spreadsheets.
5. Data-Driven Safety Insights and Trend Identification
Understanding safety trends is crucial for long-term risk management. viAct’s software provides real-time data analysis, giving safety managers the insights they need to identify trends and proactively address emerging risks.
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viAct’s computer vision technology for workplace safety continuously monitors worksites, capturing a wealth of video data that is analyzed in real-time. Generative AI analyzes historical safety data alongside real-time inputs to identify hidden trends and make predictive safety assessments.
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Instead of simply reacting to incidents, Generative AI allows safety managers to forecast potential risks based on patterns detected in the data. It provides-
viAct’s Safety Observations Software is a combination of AI video analytics, computer vision, and Generative AI for workplace safety that transforms workplace safety from a reactive process into a proactive, data-driven system.
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This level of predictive insight ensures not only compliance but also a safer, more efficient work environment for all.
Are you fascinated by the features of viAct’s AI-Powered Safety Observations Software?
Get A Demo Here: https://www.viact.ai/demo
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