VS133 AI ToF People Counting Sensor
VS133 AI ToF People Counting Sensor
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Description
VS133 AI LoRaWAN ToF People Counting Sensor
The VS133 represents next-generation people counting technology featuring an embedded AI algorithm that filters unnecessary counts and distinguishes different crowd patterns, significantly enhancing accuracy and scenario adaptation for optimal performance across diverse applications.
- On-Board AI Algorithm
- 2nd Generation ToF Technology
- 100% Anonymous Detection (GDPR Compliant)
- Industry-leading 99.8% Accuracy
- Staff Detection and Adults/Children Differentiation
- Smart U-Turn & Bi-Directional Counting
- Great Compatibility for Extended Applications
- Strong Universality to Be Adaptable for Diverse Scenarios
Advanced AI Algorithm Integration
This next-generation people counting sensor incorporates an embedded AI algorithm that effectively filters unnecessary counts and distinguishes various crowd patterns, dramatically improving accuracy and scenario adaptation for superior performance optimization.
Enhanced ToF Technology
Built on proven ToF (Time of Flight) technology renowned for high accuracy and anonymous protection, the sensor utilizes revolutionary upgraded technology delivering stronger performance, higher precision, and improved scenario adaptability to enhance application capabilities.
AI ToF People Counting Sensor Whitepaper
Complete Anonymous Detection
The sensor maintains full GDPR compliance by capturing depth images without collecting personally identifiable information through ToF technology, ensuring privacy protection at the source level.
Unmatched 99.8% Accuracy
Through advanced ToF technology and sophisticated people counting algorithms, the sensor effectively filters non-object targets, minimizes undetected probability, reduces installation height dependency, and improves light interference resistance, achieving exceptional 99.8% accuracy.
Advanced Recognition Capabilities
Beyond reliable bidirectional people counting, this intelligent sensor provides direct access to recognize specific individual categories including staff detection and adult/children differentiation, enabling precise people counting to optimize operational efficiency.
Multi-Device Integration
Through simple configuration, the sensor seamlessly integrates up to 4 units to extend coverage area. This quadruple insight capability offers comprehensive understanding of occupancy in large target areas for more integrated and valuable information.
Regional Analytics & Dwell Time Monitoring
By accurately capturing foot traffic and duration within up to 4 customized regions, users gain actionable insights for improved queue management across various applications including check-out counters and any evaluation requiring occupancy and dwell time analysis. Customizable settings filter passing traffic to achieve truly precise counting.
Comprehensive Heat Mapping
The sensor captures people flow, duration of stay, and movement patterns to generate detailed heat maps. This provides deeper insights through visual representation of foot traffic distribution and intensity, enhancing understanding of customer behavior and enabling optimization of user experiences, store layouts, and data-driven decision-making.
Intelligent Bi-Directional Counting
Concurrent in and out counting enriches applications with more accurate and straightforward information. By detecting U-shaped tracks, the sensor filters redundant counting of people wandering the area to distinguish individuals who don't truly enter the monitored space.
Intuitive User Interface
The sensor facilitates understanding of visitor flow and occupancy trends through well-designed interfaces featuring enhanced interactive experiences, streamlined configuration processes, and intuitive report displays.
Technical Specifications
| 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) |
Documentation
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