This Business News Story Was Uncovered By Us From: http://www.youngupstarts.com/2019/07/08/customer-tracking-made-easy-with-the-intelligent-crowd-counting-ai-models/
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by Naveen Gattu, COO and co-founder of Gramener
Retail stores, libraries, museums, banks, and stadiums consume significant customer traffic every day. The business users are not concerned only about tracking their customers. Their safety is also an utmost priority. However, it is being proactively dealt with by placing cameras.
Yes, a camera saves the day. Cameras capture the movement of people in a structure and estimates almost accurate footfalls. The amalgamation of camera trap data with Artificial Intelligence technologies such as deep learning and Convolutional Neural Network gives rise to business-friendly use-cases of crowd counting.
Crowd counting is a niche technology that has skyrocketed in recent times. Research predicts this market to reach a whopping $1100 Million by 2022. Giants and SMEs from Retail and Event Management segments can use this technology to analyse their ROIs like never before.
What is Crowd counting AI model?
A crowd counting system is an AI-enabled smart system. It gathers data, which has the ability to offer actionable insights to users.
For example, the data helps retail managers to figure out their conversion rates. A retail store manager can count the customer footfalls at different sections of the store. With this, he can know the peak hours of customer visits. It helps them to allocate staff to attend customers, which further creates value in terms of revenue, profit, and customer experience.
Counting anything in the world with A.I. models.
Crowd counting applications are not limited to businesses. Many Non-profit organizations also utilize the benefits to help save endangered species. The collaboration of Microsoft and Grame… Read More
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