Chandni Sharma
AI based Video Analytics Making Supply Chains Smarter
AI based Video Analytics Making Supply Chains Smarter. The growing use of artificial intelligence (AI)-powered video analytics over the years has radically altered and improved the operations of many processes, across industries and continents. The findings of the IHS Markit Video Surveillance Intelligence Service shows that there has been a consistent growth in the global professional video surveillance equipment market, with the worldwide market revenue jumping up from $18.2 billion in 2018 to $19.9 billion in 2019.
Moreover, the use of video is becoming vital for businesses to ensure better management of their inventory. There are often instances of damage, theft or pilferage of goods, either when they are in the warehouse or in transit. To overcome these challenges, CCTV cameras backed with video analytics are being employed, which can efficiently and instantly track and detect any kind of suspicious activity and further send alerts to the server over the network. The supply chain managers are then able to take prompt action to ensure uninterrupted supply of the products.
At present, when COVID-19 has brought about ripples of turbulence for almost all businesses, requiring them to practice and adopt enhanced safety measures, video analytics has truly been playing a quintessential role by ensuring that all safety precautions are being duly undertaken to limit the spread of infection. The CCTV cameras equipped with video analytics are able to closely monitor the movement of people, making sure that social distancing norms are strictly followed and face masks are mandatorily used. In case of any violation of any of these norms, the system automatically triggers alerts, which allows for appropriate action to be taken.
Further, while during road transport, when goods are transported in bulk from one place to another, the use of video analytics makes it possible for businesses to analyse the truck utilization patterns on a daily basis and gain a view of loading/unloading activity details, load per cent capacity, etc. This aids the supply chain managers to keep a check on the overall productivity of their fleet, and make changes whenever necessary. Also, there are other KPIs like facial recognition, driver wellness, etc., that can be efficiently monitored to ensure control and optimization of the supply chain.
Needless to say, advances in technology have paved the way for many exciting opportunities for businesses. Besides bringing in visibility and transparency, video analytics has proved extremely helpful in ensuring safety, quality, timeliness, performance and productivity for businesses. By seamlessly integrating with the existing video infrastructure, the technology has been successful in increasing the supply chain efficiency, eventually translating into increased customer satisfaction and improved business profits. Isn’t this disruptive? Yes, it certainly is!
I hope you like this blog, AI-based Video Analytics Making Supply Chains Smarter to learn more visit HawksCode and Easyshiksha.
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