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Safety, security and hygiene in business industry

By Mr. Kapil Bardeja, CEO and Co-Founder – Vehant Technologies

With every aspect of running a business digitized, trending technology like AI-ML has captured the attention of business owners. They are looking for innovative ways to automate various aspects of business, be it logistics, retail, hospitality, or any other industry. AI-ML has a wide range of applications, and researchers are striving to uncover all avenues of its applications in every possible way.

Business analytics is the trending application of AI-ML where this technology harnesses data-driven decision making and empowers business leaders to quickly make informed choices to drive sales, increase productivity and progress in the market. Businesses perform data analytics using data engineering and strategy building techniques to drive business strategies and actions.

Data is the elixir. It is produced in exceptional quantities in the form of text, images, video, etc. No matter what industry you work in, you produce large amounts of data. Businesses need to have a system that can understand the data, extract valuable insights from it, and breathe new life into the business. A system developed precisely to a company’s needs can follow any spatial or temporal guidelines, search for anomalies and produce enterprise-grade analytics.

Video analytics is the most widely used technique for business analytics. It has given a new definition to the video data produced by companies and the information that can be developed through its proper analysis. This technique is used to detect various objects and actions such as face, fire, smoke, equipment such as helmets, harnesses, jackets, gloves, room cleaning detection, step analysis and many others.

Fire and Smoke Detection (FRS)

Fire and smoke can be proactively detected via the detection camera’s field of view, with such incidents being detected at an early stage. Well-built systems are able to detect incidents in real time with high accuracy. Such systems are built using AI with computer vision and image processing techniques. Independent FRS cameras as well as IP cameras built with video analytics use algorithms trained on image streams to detect flames and smoke.

Hygiene & Cleanliness

Cleanliness and hygiene are required everywhere, from restaurants to grocery stores and healthcare facilities. These are major concerns in the healthcare industry as well as in quick service restaurants or fast food restaurants. According to a survey, healthcare workers wash their hands half the times they are supposed to. Similarly, restaurants lack basic handwashing provisions in the kitchen and restrooms. Both industries face the challenge of detecting that employees are following basic hygiene rules while serving customers in their respective fields. This is where AI and computer vision-based business analytics solutions come into play and prove to be a quick fix for common problems in maintaining cleanliness and hygiene. Detection of gloves, hair net/chef’s cap and other items for maintaining hygiene can be easily detected using enhanced VA techniques. There is no need for human supervision to check the cleanliness of activities like washing hands, moping, cleaning the table, etc. In addition, the solutions are autonomous by analyzing images and videos and sending alerts by e-mail or message. AI-enabled business analytics systems interpret video data around the clock to monitor employee hygiene and cleanliness issues while they are at work.

Loitering and looting

This is the most common reason for using video analytics solutions in the corporate sector. It is crucial for every industry to monitor the existence of people acting suspiciously. Enterprise analytics solutions for surveillance are very effective in monitoring locations to prevent theft. Improved solutions deployed at places like the point of sale significantly reduce looting and theft. The solutions allow loss prevention teams to detect and identify suspicious ledger transactions in real time so they can act quickly. Advanced video analytics solutions integrated into the retailer’s POS system provide clear information when a suspicious transaction occurs and automatically send alerts.

Attendance analysis

Video analytics data related to crowd behavior analysis can be effectively combined with business intelligence and can offer various insights for decision making through attendance analysis. Sophisticated business analytics can provide accurate and reliable traffic data for locations such as stores, stockyards, and more. for specific locations by date and time. Analytics provides the number of people, and it can detect face masks and send alerts if counters need additional manpower to meet detected footfall, if operational inventory in manufacturing or the logistics industry is weak and several other use cases. The solutions available on the market are enhanced to help the person make localized decisions based on attendance.