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• Age Identification
• Employee Identification
• 99% Accuracy
• Adults/Children Differentiation
• Wide Coverage
• IP66 High Protection Level
• Gender identification
• REID Deduplication
• Anonymous Detection
• Data Upload Timeliness
• Dwell Time Statistics
• Rich Open Interfaces
The device collects stereoscopic visual information via dual CMOS image sensors No identifiable images are used.
Through advanced sensors and artificial intelligence recognition technology,the system can count and accurately analyze people entering and leaving in real time. the system can also collect key attribute data such as gender and age group to segment the population structure.
Not collect facial information
Age groups: <10 years old (children), 10-16 years old (teens), 17-30 years old, 31-45 years old, 46-60 years old, >60 years old
Gender identification: Male / Female
Through advanced sensors and artificial intelligence recognition technology,the system can count and accurately analyze people entering and leaving in real time. the system can also collect key attribute data such as gender and age group to segment the population structure.
Through the deep learning model of human features, duplicate counts of the same person entering, exiting or staying mutipletimes in a day can be removed.
Based on the RElD deduplication function, the “total stay time” and “average stay time” of customers in the store can be recorded.
The footfall counting camera supporting software automatic zoom, the device supports an installation height range of 1.9-6m, a coverage range of 1.1-8,4m, and can adapt to different installationen vironments.
The device provides HTTP POST/HTTPS POST/FTP/SFTP/MQTT protocol data transmission and supports secondary development data docking of the device.
The device has rich local application interfaces and RS-485 expansion support,allowing developers to integrate and develop flexibly and quickly.
You can customize the data upload time to the people counting platform, which can support real-time, 1 minute, 5minutes, 30 minutes, etc.
The AI people counter sensor is designed with a splash-proof casing to reduce the device failure rate and enhance hardware reliability.
Camera counting supports local computing with out the need for a local server, supports flash offline storage, supports resumable downloads when disconnected, supports Poe power supply,and supports wired/wireless connections
Camera counting supports local computing with out the need for a local server, supports flash offline storage, supports resumable downloads when disconnected, supports Poe power supply,and supports wired/wireless connections
It can identify the number of wheelchairs entering and exiting and send a signal.
People counter sensor equipment works with relay,control a variety of electrical appliances.
After setting the height of children, people who are shorter than this height passing by will be judged as children.
When the number of people exceeds the set value, a signal and alarm will be issued. (Alarm equipment is required)
The device and the occupancy counter host are matched to visualize the data
Which can detect the number of people passing by the door and the number of people entering the store.
The local data of the device can be saved for 90 days and can be exported and used with out network.
The People counting System( free of charge) cloud platform conducts visual management, providing users with real-time fast query
and multi-dimensional analysis reports to help make accurate operational decisions.
The analysis report covers comparative analysis, ranking analysis, peak and valley analysis, growth analysis, batch analysis, holiday analysis, holiday comparison, etc.
The query indicators includethe number of people entering.leaving, passed by, turning back, adult and children,incoming batch, outgoing batch,the number of families and individuals, etc
.
It includes pattern query, entity query, area query, entrance and exit query. Users can also create custom queries for 5 minutes, half an hour, hour, day, week, month, and year.
Connecting to the device via a hotspot allows for easy modification of height parameters, setting of detection areas and lines, and device upgrades, providing convenient and quick management and performance optimization.
• Open your computer’s (or mobile phone’s) Wi-Fi list and search for the device’s hotspot: HF + last 10 digits of SN
• Hotspot password: hf123456
• Open any browser and enter the access address: 192.168.4.10
• Username: admin
• Password: hf123456
AI people counter sensor it is widely applicableto shopping malls,retail stores, buses,scenic spots, libraries, museums.restaurants,factories,
supermarkets, parks, buildings, smart toilets, exhibitionhalls, gyms, etc.
Fix the expansion screw slots in the holes on the ceiling, and install the bracket firmly with expansion screws.
Insert the device into the bracket and align the holes on the side of the bracket with the screw holes on the device to secure it.
Supply power to the device and the grid.
Mount Bracket (Standard)
Employee ID Badge (Standard)
Charger (Standard)
