Provide solutions based on deep learning and computer vision technology
“Deep North” official website
According to Foreign media reported that the technology company” Deep North “was recently completed A $ 25.7 million round A round of financing was led by London VC Celeres Investments, an investor in autonomous driving startup Phantom AI, with companies such as Engage and AI List Capital participating.
Deep North is a high-tech company focusing on computer artificial intelligence visual analysis research. It is headquartered in Silicon Valley, USA, and has branches in China, Sweden, Australia, UAE and India.
Deep North provides solutions based on deep learning and computer vision technology, helping customers find value from their video data analysis results and use them. “Deep North” has established an analytics platform that can collect data from cctv (cameras) and other cameras that retailers have used to provide retailers with insights.
“Deep North” helps shopping malls, supermarkets, department stores, chains and other retail industries direct online consumer traffic to offline physical stores. “Deep North” will integrate advanced algorithms based on artificial intelligence technology, especially deep learning technology, and computer vision algorithms to provide a new dimension of data analysis for business applications.
Deep North’s products provide retailers with the ability to track, evaluate, understand, and predict customer behavior, allowing decision makers to understand various customer statistics and their participation in business and physical spacesWith degrees. Through “Deep North”, you can “see” the activities of customers in real time, spanning the entire shopping mall, supermarket, convenience store, chain store or promotion site.
According to Rohan Sanil, CEO and co-founder of Deep North, the Bay Area startup was formerly known as VMAXX and currently has customers in the US and Europe. These customers include shopping malls, Retailers, commercial real estate companies, and transportation hubs.
“Deep North” official website
There are many retail analytics tools on the market today, but so far, most retail analytics tools are based on the use of non-visual (non-video) data, including sales records, card payment records, in-store credit Standards, in-store WiFi, and smartphone usage.
But these methods have disadvantages. For example, if some people do not use in-store WiFi, beacons will be less common than CCTV, and some shopping data will be false positive. In a sense, if customers don’t buy anything, then it’s difficult to track down why they didn’t buy something and what problems customers encountered during the shopping process.
Rohan Sanil said that the data collected through other methods is only 30-60% accurate, and then the data analysts infer the results from these low accuracy data. In addition, data collected through other methods face significant technical and software costs. There are many advantages to collecting data through video systems. Azhaan Merchant of Celeres Investments says that by leveraging existing video clips to understand consumer activity and behavior, they can help operators make informed operational decisions.
The “Deep North” AI currently measures the number of people entering and exiting the mall each day, the queue time of consumers, and the roadmap for customers to purchase products. “Deep North” plans to continue to expand its product scale with new funding.