With a focus on shopping mall business scenarios, the development of various levels of AI intelligent passenger flow system precisely captures the specifics of in-field traffic, insights into the pattern of in-field traffic, and implements data-empowered operational decision-making.
It captures mall in-field traffic data using AI technology and delivers extensive metrics such as headcount de-weighting, loitering duration, and loitering trajectory for various spatial units such as the entire mall, floors, zones, tunnels, and stores.
To improve traffic operations, provide the entire field of holiday effects, hot zone distribution, climbing rate, industry associations, into/through the store, store associations, and other information, as well as an accurate understanding of the field of traffic time and space distribution patterns.
Provide projected traffic data at the city and business district levels, mall traffic forecasts, and exclusive business analysis services to assist malls in gaining insight into market development trends, improving market activity arrangements, staff scheduling plans, and other work, and refining their operations.
Provides a corporation view, enables unified multi-project management, and allows access to device traffic statistics from several hardware device vendors.
Based on ReID technology for commercial real estate, develop a new generation of brick-and-mortar business digitalization of passenger flow statistics analysis system management tools, in order to complete the structured data processing and achieve the end to the platform of the overall program integration.
Successfully investigated and created its own Pedestrian Re-identification (ReID) system, which incorporates both geographical and temporal cues. It can cross-camera detect pedestrian targets with diverse postures and angles based on the visible features of the human body, and precisely restore the trajectory of customers' wandering behavior.
compared to face recognition technology, "cross- camera" retrieval of non-sensitive information such as customer gait and movement, body features, etc., without violating the privacy of the customer's facial identification, count the customer's in-store/store wandering time, to provide a sustainable, strong correlation, fine-grained data source for consumer behavior analysis.
Support in the study of multidimensional data in space and time;
Support in the study of consumer flow in the brand industry dimension;
Cross-camera tracking is used for full-field, panoramic, and panoramic data collection; numerous dimensions are used to cross-analyze the consumer population and generate matching marketing plans based on the preferences of different groups of customers.
The platform has a disaster recovery and data backup mechanism that spans several nodes.
The platform is legally protected, with data privacy and confidentiality agreements in place.
Winner Technology has 19 years of industry expertise and uses its team, products, resources, and service system to deliver high quality industrial solutions to industry clients.
Winner Technology has the capacity to develop AIoT intelligent hardware and software on its own, as well as an experienced team of data scientists to deliver data services throughout the whole brick-and-mortar business sector.
We have 8 operation and maintenance command centers and 200+ service outlets that can provide clients with 7*24 hour operation and maintenance assistance as well as online consultation services.
ISO 9001 quality management system certification, ISO/IEC 27001 information security management system certification, ISO/IEC 27701 privacy information management system certification, CMMI level 3 accreditation, and a safe manufacturing license have all been obtained
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