A few common types of EHS risks are as follows: 

Risk of compliance: When a company fails to comply with the rules and regulations given by the law, it can lead to legal penalties, fines, and even losses. 

Risk of safety: It can lead to minor or major injuries, adverse health consequences, and even death in some cases.

Environmental risks: There are adverse impacts on the environment from emissions, waste, and resources coming from a company.

Climatic risk: Climate-related events can also affect an organization’s day-to-day work.

Is there any place for AI in EHS risks and regulations?

Yes, there is potential…

In the case of EHS, a constant supply of data is needed by the AI system to determine the usefulness of the final product. Currently, some digital EHS technologies are acting as the information conduits of the EHS ecosystem, which in turn helps gather more relevant information & data for the same.

Partnerships between AI specialists and EHS automation providers or industries will allow AI to positively disrupt EHS. These partnerships will need to align with the vision of data variety and volume regardless of the modality. In simple words, the more diverse and in-depth datasets available, the better their corresponding AI functionality and response. Soon, an AI-based approach will become part of the native functioning of the EHS domain.

Video Analytics is an essential tool incorporated under AI & Machine Learning which is playing an important role in improving a company’s performance by managing its health & safety risks.

Safety measure detection: Companies need to ensure employees’ safety from leaks of hazardous gases, damaged safety kits, electric damage, etc. Video analytics involves hard hat detection, PPE kit detection, and face mask detection. Everything is monitored and alerts are sent instantly to the authorities.

Unauthorized access management: Video analytics and face recognition allow only authorized employees to enter into a restricted premise. This prevents theft in factories as instant alarms are raised if such practices are identified.

Surveillance of dangerous situations: Detect individuals who are within a predefined exclusion zone or who are inside a facility during an emergency evacuation. To detect sounds from security camera microphones, such as alarms or cries for assistance, to allow for timely intervention.

Why should you manage your EHS risks and how does it benefit your company:

1. It identifies hidden risks, thus improving the visibility of risks within an organization.
2. To make well-informed decisions based upon quantitative data, rather than guesswork.
3. Helps in saving money by informing about threats before they even arise.
4. To get an unfair advantage with the competition by operating with much more efficiency.

Technological advancements have made companies more creative, looking for new ways to make their processes more efficient. Video analytics has its own set of benefits in an organization.

Cost-effective: Video surveillance and analytics in warehouses and factories are used instead of guards which reduces the overall operation cost.

Time-Saving: Video analytics performs real-time monitoring in companies to ensure the safety of employees and alerts the monitoring room within seconds.

Risk Reduction: Chemical companies use video analytics solutions to ensure the safety of workers with greater accuracy & efficiency.

To incorporate Video Analytics into your organization for improving workplace safety, you first need to hire a company that specialized in AI solutions and let them commence the pilot project.

Once you entrust a company with expertise in creating customized AI solutions, you can stay rest assured that they will develop the project and deploy it directly to your system.

But, there are some basic requirements that are needed before any expert or company starts developing the custom program for your organization.

Basic requirements:

1. Access to your CCTV cameras will be needed
2. Employees’ data will be required specifically facial data (left, right, and the front side of the face)
3. CPU-based implementation is very slow, hence external GPU will be needed.
4. Connectivity to the Database.

What are the steps involved in the application of Video Analytics for EHS risk assessment:

Step 1:

Connect Your Existing Cameras Or Install modified Cameras into your organization.

Step 2

Select the Safety Violations you want to get detected.

Step 3:

Connect your system with the AI application to get real-time message alerts on the dashboard.

If you're in charge of a complex environment, such as manufacturing, logistics, or warehouse operations, you're well aware of the potential hazards your employees may face, as well as the regulatory requirement to follow occupational health and safety guidelines and best practises.

You can now use an intelligent video analytics solution to protect workers from a variety of health and safety risks by combining customisable, automated detection with alerts that include information to identify and locate a person who is at risk.

Read Also:

https://datenwissen.com/blog/why-innovation-is-important-in-fmcg-industry

https://datenwissen.com/blog/video-analytics-in-manufacturing-industry

In today's time, if you want to effectively manage your EHS risks, then you have to adopt some advanced technological methods. It’s necessary that you understand the Occupational risks and regulations, and hire the best team to create customized AI solutions for the same.

At Daten & Wissen, we have a team of experts in creating customized AI solutions. Over the years we have transformed many industries with the help of our AI solutions. We ensure that your data is safe & secured while creating the AI solution.

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