Smart Retail Solutions
Overview
Overview of People Counting System for Smart Retail
Core Functions
Industry Demands
Partners


Core Functions
Core Function 1:
Customer AttributeAnalysis

Core Function 2:
Customer Path Analytics

Shopper tracks are learned and analyzed for shopper paths.

Shopper paths

Shopper tracks
Core Function 3:
Entry Rate
Benefits
Surrounding and entering shoppers are counted for monitoring traffic trends Passing and entering customers are calculated together with the entry rate for KPI review.

Entry rate statistics
Entry rate statistics
Passing shoppers: 100
Entering shoppers: 20
=> Entry rate: 20%

Core Function 4:
Heat Map
Traffic heat map
People in the target area are counted automatically per 10 seconds Statistics are sent to the backend platform. In-store customer heat maps are thus intuitively presented on the platform.

Benefits
Intuitive presentation of hot spots in the store Assistance in adjusting goods display and improvement of store distribution.

Core Function 5:
Outdoor people counting
Using the existing monitoring cameras, no need to increase the construction cost. Advanced algorithms support various angles of outdoor people counting with high accuracy.



Systems

Integrated Smart People Counter
Product features
Smallest smart camera in the world with an accuracy of 98%+


Data acquisition


Mounting effect

Customer Counting and Analysis Camera
Product Features
A pioneering integrated smart camera that supports people counting, facial snapshot, facial deduplication as well as gender, age and facial expression analysis.
Accurate snapshot regardless of the angels. Patented industry design of elegant mounting




Hardware-Smart AnalysisTerminal
High performance
nVidia GPU processor with 300GFLOPS computing power and simultaneously decode 4 HD signals
Rich Functionalities
People counting
Entering rate
Heat map
Gender & Age Recognition
Extendibility
Hard disk
USB3.0
Duel 1000M network port
Serial port


Report System with Rich Functionalities: PC End

Homepage of the group

Homepage of the store

In store traffic heat map analysis

Shopper path analysis
Advanced Algorithms
ReID: Person re-identification, which means the AI vision technology for identifying the same person in different scenarios based on his/her dressing, postures, hairstyle and other characteristics while describing such person’s path based thereupon.


Pose estimation of in-store staff is achieved using part affinity fields, applicable to all kinds of customized pose estimation.

Pose estimation

Part Affinity Fields
Customized Services : 3C
Driven by the industry-leading algorithm R&D team and the specialized hardware design team, a complete range of customized solutions are available for users’ needs.

Member recognitionÂ
Precision marketingÂ
VIP services

Length of queue
Time of queuing

Multidimensional customer portrait
Phone model and brandÂ
Duration of stay
Clients
Huawei

Wide-angle people counting



Heat map



Customer paths


Overseas projects

UAE

South Korea

Japan

Indonesia

HongKong

Saudi Arabia

Singapore

Malaysia