Actionable Insights Beyond People Counting
It is a next-generation people counting sensor with an embedded AI algorithm that allows to filter unnecessary counts and distinguish different crowds, greatly improving accuracy and scenario adaptation for optimal performance.
Smart Bi-Directional People Counting
Counting people in and out concurrently enriches the applications to bring more accurate and straightforward Information. By detecting the U-shape tracks, the sensor filters out redundant counting of people wandering the area to distinguish people who don't truly enter.
Regional People Counting & Dwell Time
By accurately capturing foot traffic and duration within maximum 4 customized regions, the users can gain actionable insights to improve queue management in various applications encompassing check-out counters and any evaluation related to number and dwell time. The people passing by can be filtered by custom settings to truly realize precise counting.
Adults/Children Differentiation & Staff Detection
More than just the reliable counting of people in both directions simultaneously, the smart sensor also gives direct access to recognize specific categories of individuals including staff detection and adults/children differentiation, realizing precise people counting to optimize operational efficiency.
Insightful Group Counting
It is crucial to extract valuable data on effective consumer groups such as families, couples, or friends in retail. Their collective purchasing behavior holds greater significance than individual counts. Based on the distance, moving direction, and speed distinguishing, the sensor intelligently realizes group counting to gain deeper insights into customers' behaviors, shopping preferences, and influential dynamics within companion groups.
Shopping Cart Fill Level Detection
With help of advanced ToF and AI technology, customers' shopping cart fill level can be accurately detected, whether its empty, partially filled, or full. This enables enhanced staff allocation, queuing management system, service efficiency, and also in-depth understanding on customer purchasing behavior.
Shopping Cart Counting
The entering and exiting of shopping carts with varying fill levels can be accurately detected and tabulated to grasp extensive customer insight.
The sensor captures people flow, duration of stay, and motion to generate a comprehensive heat map. It provides deeper insights by visually representing the distribution and intensity of foot traffic, enhancing the understanding of customer/consumer behavior and allowing for optimization on user experiences, store layouts, and data-driven decision-making.
With simple configurations, the sensor can smoothly fuse up to 4 sensors to extend the covering area. The quadruple insights offer a clearer picture of the number in the large target area for more integrated and valuable information.
Learn MoreWith more robust ToF technology and people counting algorithm, the sensor can better filter non-object targets, lessen undetected probability, reduce dependence on installation height, and improve light anti-interference performance, contributing to an unparalleled 99.8% accuracy.
It is a next-generation people counting sensor with an embedded AI algorithm that allows to filter unnecessary counts and distinguish different crowds, greatly improving accuracy and scenario adaptation for optimal performance.
Based on the favorable ToF (Time of Flight) technology which features high accuracy and anonymous protection, the sensor revolutionarily adapts the upgraded technology with stronger performances, higher precision, and better scenario adaptability to boost application.
AI ToF People Counting Sensor WhitepaperThe sensor is compliant with GDPR. It only gets in-depth images without involving personally identifiable information based on ToF technology, which protection at source.
Privacy & Security GuideThe ToF technology enables the sensor to perform well in all lighting conditions including low light or completely dark indoor environments and harsh outdoor environments with strong sunlight. In addition, the powerful AI performance breaks the application limitations to guarantee the perfect fit for most scenarios.
DemoUser-Friendly UI Design
Valuable data obtained by the sensor will be displayed in a well-design interface that offers comfortable configuration processes, intuitive report display, and enhanced interactive experience through an improved dashboard layout and timeout verification method.
Flexible Reporting Engine
With the enhanced reporting engine, the sensor brings unprecedented flexibility and control over how users receive and utilize valuable data to enjoy convenient analytics and unlock the full potential of the device, while having full control over security.
The alternative LoRaWAN® and Ethernet transmission helps to flexibly make informed decisions for different application fields. The strong scalable capacity based on the open APIs and MQTT(s)/HTTP brings more possibility in compatibility and customized features to unlock the potential of the premises.
Click the link below for a 24-hour live demo, and know how the AI ToF People Counting Sensor works.
Flexible ceiling and doorframe mounting (with optional VB01 multifunctional bracket)
| People Counting | |
|---|---|
| ToF FoV | 98 ° Horizontal, 80 ° Vertical |
| ToF Light Beam | 940nm (Invisible) |
| Measuring Accuracy | < 3.5cm |
| Detection Range | 0.5 to 3.5 m |
| Installation Height | ≤ 3.5m |
| Recognition Rate | Up to 99.8% |
| Advanced Feature | Customized Multiple Counting Lines, Filter U-turns, Bi-directional Counting, Children/Adults Differentiation, Staff Detection |
| LoRaWAN® Transmission | |
| Protocol | LoRaWAN® |
| Frequency | CN470/IN865/RU864/EU868/US915/AU915/KR920/AS923-1&2&3&4 |
| Tx Power | 16 dBm (868 MHz)/20 dBm (915 MHz)/19 dBm (470 MHz) |
| Sensitivity | -137 dBm @300bps |
| Mode | OTAA/ABP Class C |
| Other Interfaces | |
| Wi-Fi | IEEE 802.11 b/g/n, 2.4GHz (AP Mode for configuration) |
| Button | 1 × Wi-Fi/Reset Button |
| LED Indicators | 1 × RGB LED Indicator |
| Power Input | 1 × DC Jack Connector |
| Physical Characteristics | |
| Local Storage | 4GB Flash to store one million data |
| Power Supply | 12VDC / 2A |
| Power Consumption | Typical 7.8 W, max 22.2 W |
| Operating Temperature | -20°C ~ +50°C |
| Relative Humidity | 0 ~ 95% (Non-condensing) |
| Ingress Protection | IP40 |
| Dimension | 180 × 26 × 72 mm |
| Installation | Ceiling Mounting, Extended Ceiling Mounting & Lintel Mounting (with Optional Multifunctional Bracket) |
| People Counting | |
|---|---|
| ToF FoV | 98 ° Horizontal, 80 ° Vertical |
| ToF Light Beam | 940nm (Invisible) |
| Measuring Accuracy | < 3.5cm |
| Detection Range | 0.5 to 3.5 m |
| Installation Height | ≤ 3.5m |
| Recognition Rate | Up to 99.8% |
| Advanced Feature | Customized Multiple Counting Lines, Filter U-turns, Bi-directional Counting, Children/Adults Differentiation, Staff Detection |
| Ethernet Transmission | |
| Ethernet Port | 1 × RJ45 10/100 Mbps (PoE PD) |
| Network Protocol | HTTP, MQTT, NTP,etc. |
| Other Interfaces | |
| Alarm I/O | 1/1 |
| Serial Interface | 1 × RS485 |
| Button | 1 × Reset Button |
| LED Indicators | 1 × RGB LED Indicator |
| Physical Characteristics | |
| Local Storage | 4GB Flash to store one million data |
| Power Supply | 802.3at PoE |
| Power Consumption | Typical 9.4 W, max 23.8 W |
| Operating Temperature | -20°C ~ +50°C |
| Relative Humidity | 0 ~ 95% (Non-condensing) |
| Ingress Protection | IP40 |
| Dimension | 180 × 26 × 72 mm |
| Installation | Ceiling Mounting, Extended Ceiling Mounting & Lintel Mounting (with Optional Multifunctional Bracket) |
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