How to ensure workplace safety leveraging AI & ML Computer Vision Analytics? | Austin

How to ensure workplace safety leveraging AI & ML ComputerVision?

Artificial intelligence matches human performance by learning, deriving conclusions on its own, and executing a clearly defined task. AI uses ML to analyze the data. Machine Learning is an artificial intelligence technology that uses data to automatically discover patterns and trends, resulting in deriving more accurate predictions of future events.

Many organizations are leveraging ML and AI to advance their product development, sales, and overall customer experience. Industries like manufacturing, construction, energy, etc. are using this same technology to engage their workforce and more importantly, keep them safe. Organizations today putting a lot of effort to improve safety performances in the workplace. Most companies understand the value of a safety culture and have ideologies about what a hyper-vigilant safety culture looks like – where employees are on high alert of their surroundings, perpetually evaluating risks for the task at hand and taking precautions accordingly. Algorithms can identify objects, edges, and velocity because of the advancements of Machine Vision.

Workplace Safety Solutions through AI&ML Computer Vision Analytics:

Process and Production Safety – The majority of the workplace facilities have a CCTV system installed on the premises. The computer vision analytics algorithm shall use the live feed from CCTV to detect abnormalities. Machine vision can control different or multiple devices, automating production processes. This increases efficiency and makes the workplace safer as it removes the need for people to be in dangerous areas.

Vision-Based Detection and Tracking – In vision-based object detection and analysis, the mechanism uses vision as the main sensor for the machine to work in real-time. Vision-based object detection and tracking use feature such as shape, color, motion, etc. of the object for the detection purpose. The development of vision-based detection and tracking has seen a new high in recent times with the development of robust machine learning algorithms. The deep learning-based object detection models are being practiced compared to the conventional vision technique of object detection and tracking.

PPE Compliant for workplace protectionPersonal Protective Equipment (PPE) is the equipment that protects the user against health or safety risks. Not wearing PPE dramatically increases the chances of injuries and in many situations also of financial losses due to fines for injuries and death of workers by not wearing gloves, hairnets, shoe covers, etc. The automation of PPE detection using computer vision helps companies reduce the risk of accident to the employee, reduce employer liability, improve operational efficiency, and provide analytics on the safety of the workplace.

Not only the above mentioned, but AI automation can collect and analyze data for those responsible for the safety of their employees. This allows them to focus on new strategic and innovative ways to improve workplace safety, instead of their time being taken up manually monitoring work sites. AI and Machine Learning are about to change our lives in many good ways. With the help of cloud software, firms will be able to reduce injury and incident rates by over 50%.

The global AI market was valued at $16.06 billion in 2017 and is expected to reach $190.61 billion by 2025, at a CAGR of 36.62% during 2017-2025. Close to 40% or even more of I&O teams will use AI-augmented automation in large enterprises, resulting in higher IT productivity.

Gartner Inc. predicts that 75% of large organizations will hire AI behavior forensic, privacy, and customer trust specialists to reduce brand and reputation risk by 2023.

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