Defining the wisdom of retail, small ants technology | 'YI • wisdom shop' | Machine vision conference successfully held

On the afternoon of June 26th, the smart retail circle party initiated by the small ant science and technology 'YI•Smart Shop' was successfully held at the Ritz-Carlton Shanghai Pudong. The small ant science and technology teamed up with industry scholars, experts and representatives of the smart retail sector, Create · enjoy - smart new retail' theme, sharing machine vision based on artificial intelligence, application of edge computing in the field of smart retail.

Today, the traditional retail industry is facing an unprecedented change. In 2018, new retail sales in China have opened up new developments in smart retail, and the retail industry is undergoing changes. The industry experts believe that the key to smart retail is how to use technology. To achieve the digital upgrade of stores and the optimization of user experience, how to successfully transform smart retail, and let the new retail concept fall is the core issue that the entire industry needs to urgently discuss.

At the beginning of the event, Mr. Da Shengwei, co-founder and CEO of Small Ant Technologies, said in his speech that machine vision applications are undoubtedly an important means for managers to obtain offline data decisions. Small Ant Technology will use technology and data to empower retail businesses and promote the industry. Racing development, improve store management efficiency.

Circle talk: Decission wisdom retail

The Roundtable Forum of this conference is particularly eye-catching. The Roundtable Forum Seminar was hosted by Han Zheng, Professor of Innovation and Entrepreneurship at China Jiaode University, Tongji University, CTO of Sichuan Weiguan, Zhang Peng, Vice President of Pangu Foods, Wang Fangxing, 3 COLOUR Director of Information Wen Zhonghua, Ren Hong, General Manager of Hongtus Sanmen Information Management Center, Zheng Yuyu, Chief Operating Officer of Balabara, and other new leaders in the retail industry, on the current and future trend of the retail industry, Perceived Edge and the application of big data in smart retail , Enabling the traditional security monitoring of machine vision, face recognition in the application of smart retail and other topics launched a fierce and exciting discussion.

According to CTO Zhang Peng of Sichuan Weiguan, the advent of the small ant science and technology intelligent business solutions has accelerated the pace of change in the era of 'post-electronics era' and 'pre-smart retail era'.

Wang Fangxing, Vice President of Pangu Foods, said when talking about AI's ability to create new food and beverages: 'In the food and beverage market, more and more restaurants have been moving toward unmanned, intelligent, and more and more restaurants will have AI. The integration of technology into management, marketing, and restaurant management is not just about providing sensory enjoyment, but also innovation. It is the challenge of providing higher technology services.

3 COLOUR director of information Wen Zhonghua believes that with the help of face recognition and image processing technology in the field of artificial intelligence, bottom-up user demand data has become the starting point for design and collocation, and there is another possibility in the direction of fashion trends.

'In the age of artificial intelligence, Hongtusan Sanshi has laid more wisdom stores, so that more children have the opportunity to get close to artificial intelligence, learn to program, and create unlimited possibilities for their future.' Ren Yan, general manager of Hongtus Sanmen Information Management Center Said in the statement.

In the final concluding remarks, Professor Han Zheng of the Gao Chi Innovation and Entrepreneurship Chair of the Sino-German College of Tongji University suggested that physical retail must not obey the old road and must innovate and change, integrate organically with AI, deep algorithm and mobile internet, and take wisdom. Retail Road. )

YI•Smart Shop: Smart Retail Innovation Brought by Machine Vision

Recently, China Chain Store Management Association and Boston Consulting Group jointly released the "2018 China Convenience Store Development Report." The "Report" shows that in 2017, the growth rate of China's chain brand convenience store industry reached 23% year-on-year, and the number of stores reached 106,000. The scale exceeded RMB 190 billion. According to the report, in 2017, the sales of many single-storey convenience stores in China had slightly improved profit levels, but the gap with international leading companies was still large.

The wisdom store is undoubtedly a golden key for solving the current difficulties in the development of convenience stores. The dual-end face recognition configuration on the equipment side and the cloud side helps the company to see the structure of the customer base and master the staff dynamics; the store’s heat maps, insight into the distribution of customers; APP One-touch shop capabilities make chain management simpler; visualization and multi-dimension report analysis make data clearer and clearer... YI•Smart Shop helps retail stores to increase revenues and reduce expenditures, improve customer service efficiency, improve store access, and diagnose store problems , Assisting in business decision-making. With this as an opportunity, physical retail will usher in yet another spring.

So how does the YI•Smart store realize these functions? As we all know, the store's merchandise display is a profound knowledge, influenced by various factors such as store location, season, brand positioning, etc. In the past, data analysis related to display was often conducted by consulting companies. Uniformly completed, it belongs to the category of visual marketing, except for big brands or key stores, few small brands and marginalized stores rarely have the opportunity to optimize their display based on data.

In the YI•Wisdom Store Solution, a solution to the B-side scenario using Small Ant Technology’s hardware products, the small ant camera, the K series, the small ant energy box X series, and the small ant colony of software, all solved the above problems. The small ant camera boasts three key advantages of the K Series: device-side algorithm capability, local multi-algorithm fusion and iterative capability, and large cloud database. Through the face recognition function, the customer's attention to the product is monitored. The system is based on the number of attention and Pay attention to the time to display, so that store managers quickly understand the concerns of the goods, to facilitate the adjustment of the placement of goods.

In order to train the most intelligent face recognition algorithm, the small ant research and development team collects tens of thousands of the most representative faces from different races, ages, and genders to train the small ants as the best learning material library. Face recognition algorithm.

Small Ant Energy Box X Series

The small ant energy box X series is known as the most thinkable box. For example, it supports face retrieval, and can play back and export associated videos. Meanwhile, the face recognition library supports 16 personal face bank groups, and the local storage capacity rarely accommodates 10W. Zhang Renlian picture. There is its compatibility, support for third-party access, so you do not need to replace the camera of the unified brand stores, and mobile app viewing allows management to be everywhere.

Small Ants Rubik's Cube: Seeing, Touching New Retail

Over the past few years, global retailers have been trying to use big data to create value. However, due to the limitations of their big data analytics infrastructure, many work has been delayed. The small ant colony's visual data big screen opens up new opportunities for retailers. The door to solve many problems and challenges that they face in the field of big data. The small ant colony's visualized large data screen can easily do things that required complicated mathematical methods and computer modeling in the past. Its emergence allows decision makers. Find answers through intuitive and real-time interactive experiences, discover subtle differences, trends and outliers, and make critical decisions at critical moments. The small ant colony also has multiple modes of operation (voice, touch, gestures), remote multi-site data interaction. And access to real-time video screen three major innovations.

Under the present circumstances, the global retail industry is more unstable. It is very important to understand the trends of the industry when the global trade war is overcast.

Through the small ants number cube data screen, the boss can intuitively and timely grasp the use of cloud computing resources, data scheduling, so that management has targeted. Small ant colonies are becoming bosses competing to chase the 'luxury'.

Small ant camera camera K series

The small ant camera enables the K Series front-end device to serve as a retail data collection center. Both in large scenes and small scenes, targets can be quickly and accurately captured, while the back-end device small ant energy box X series and several cubes focus more on data aggregation. Analysis, fully meet the needs of multiple scenarios, multi-industry applications. These intelligent hardware products are subverting the management of stores, creating a new era of intelligent retail.

At the press conference, guests from Sichuan Weiweiguan, Baodi Apartment, O2O fashionistas, China Telecom and other retail, catering, real estate, apparel, and telecommunications industries shared the experience of using the YI•Smart Shop smart retail solution. They highly praised YI•. Smart shop solution, like YI • wisdom shop machine vision solutions.

After the end of the sharing, an exciting moment arrived. Catering, education, retail, clothing bags, apartments, parks, etc. Industry guests and small ants science and technology leaders jointly launched the YI • wisdom shop smart retail alliance.

In the smart retail track, Small Ant Technology is leading the industry with its 'YI • Smart Shop' machine vision solution.

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