Video analytics using deep learning AI can be used to produce a rich picture of activities, hazards, and near misses in the workplace by analyzing video footage of the workplace.
According to a survey conducted by the International Association of Professional Security Consultants (IAPSC), 63% of respondents reported using video surveillance in their workplace, with smaller organizations being less likely to use video surveillance than larger organizations. This number is expected to grow rapidly and may already be over 90%,
Here are a few specific ways in which video analytics using deep learning AI can be used to produce a rich picture of activities, hazards, and near misses in the workplace:
Overall, video analytics using deep learning AI can be a powerful tool for producing a rich picture of activities, hazards, and near misses in the workplace, helping organizations to identify potential hazards and prevent accidents and injuries.
May 16, 2023
Learn about transformational safety analytics from CompScience that utilizes workplace video to generate predictive models from that safety managers and ergonomists can use to report and improve injury rates in manufacturing, logistics, construction and more. This 45 min webinar was presented by Kris Mizel, CSP, Head of Loss Control and Lauren Wandell, Head of Ergonomics […]Read more
May 5, 2023
Workers’ compensation insurance is a type of insurance that provides benefits to employees who are injured or become ill as a result of their work. The purpose of workers’ compensation insurance is to ensure that employees have access to medical care and financial support in the event of a workplace injury or illness, and to […]Read more
May 5, 2023
Here are a few strategies that may be helpful in convincing a CFO to prioritize workplace safety. It may not be clear at first why improving safety with analytics is important, but reducing accidents and improving an X-mod has high impact on costs. Talk with CompScience about how we can help reduce injuries with […]Read more
April 30, 2023
The Experience Modification Rate (X-Mod) is a factor that affects a company’s workers’ compensation costs. A high X-Mod indicates that a company has a higher than average number of claims, which can result in higher insurance premiums. From the perspective of safety managers, a high X-Mod suggests that a company’s safety program may not be […]Read more
April 27, 2023
TRIR (Total Recordable Incident Rate) is a measure of how many work-related injuries and illnesses occur in a workplace, usually expressed as a rate per 100 employees per year. AI (Artificial Intelligence) and computer vision can help reduce TRIR by improving workplace safety through the use of advanced technologies. We have measurably reduced TRIR for […]Read more
April 27, 2023
Reducing the dart rate is a critical goal for any safety manager, as it directly relates to the safety and well-being of employees in the workplace. The dart rate, also known as the days away, restricted, or transferred rate, measures the number of days employees are away from work due to occupational injuries or illnesses. […]Read more