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Cross Camera Route Analysis

Use AI to discover more customer data value

Utilizing the three core AI algorithms of human detection, human target tracking, and ReID, and conduct in-depth analysis of customers behaviors such like entry and journey map in the store to help enterprises maximize traffic value.
Core Functions
Heat map and customer path analysis which can collect and analyze multidimensional customer data and provide high value data basis
Heat Map
Based on AI algorithms, record and analyze customer stay duration in the store, and focus on high engagement areas within the store.
Customer store journey map
AI algorithms record and analyze customer store journey map and coordinates, then calculate the ranking of store routes.
Heat Map
Help to discover the correlation value between products and customers
Heat map can help stores discover the value of shelf areas, products, and customers, thereby providing guidance for the continuous optimization of store product layout.
Heat map can help stores discover the value of shelf areas, products, and customers, thereby providing guidance for the continuous optimization of store product layout.
  • Uncover value,improve marketing. Help stores discover the correlation value between shelf areas, products and customers, and guide operations.
  • Display planning,well-founded. According to the hot area of the store to adjust the product placement strategy and optimize the store layout
Customer journey map
To assist in optimizing store layout design
Customer route analysis can calculate the ranking of store customer flow and evaluate whether the store's flow design is reasonable based on the store's customer flow. Assist the store in optimizing store layout, product placement strategies, etc., and continuously try to find the optimal route design for the store.
The core technologies of Cross Camera Route Analysis
Human detection
Using deep learning algorithms to detect human in selecting area within images or videos.
Human target tracking
Based on the human attributes, track and locate human targets in the video sequence, and sequentially draw human route.
ReID algorithm
Also known as pedestrian RE identification algorithm, it is a computer vision technology used to track and recognize pedestrians between different scenes or cameras. Its goal is to achieve RE identification of the same pedestrian between different cameras by extracting and comparing attributions, such as body shape, clothing, gait, etc.