Milesight Vs132 Ai Werkplek 3D Tof Lorawan Sensor Voor Het Tellen Van Mensen Cameras
Milesight Vs132 Ai Werkplek 3D Tof Lorawan Sensor Voor Het Tellen Van Mensen Cameras
Milesight Vs132 Ai Werkplek 3D Tof Lorawan Sensor Voor Het Tellen Van Mensen Cameras
Milesight Vs132 Ai Werkplek 3D Tof Lorawan Sensor Voor Het Tellen Van Mensen Cameras
Milesight Vs132 Ai Werkplek 3D Tof Lorawan Sensor Voor Het Tellen Van Mensen Cameras
Milesight Vs132 Ai Werkplek 3D Tof Lorawan Sensor Voor Het Tellen Van Mensen Cameras
Milesight Vs132 Ai Werkplek 3D Tof Lorawan Sensor Voor Het Tellen Van Mensen Cameras

Milesight VS132 AI WORKPLACE 3D TOF LORAWAN SENSOR FOR PEOPLE COUNTING

Regular price €655,00 €0,00 Unit price per
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Product Description

The VS132 is an advanced sensor designed for reliable and anonymous people counting, using LoRaWAN for long-range indoor wireless communication.
Equipped with WiFi, supporting both direct DC power supply and PoE-PD, and with flexible mounting options, this sensor is easy to install, configure and operate.
With 100% anonymous detection and 99.5% detection reliability even without ambient lighting, it is suitable for most people counting applications in shopping malls, public and commercial buildings, offices and more.

More features

3D ToF technology

The Time-of-Flight (ToF) principle is based on measuring the time it takes for a modulated near-infrared light to travel from a source to an object and back. By calculating the phase difference, the sensor creates a 3D depth image for accurate and anonymous people counting.

100% anonymous detection

The 3D ToF People Counting Sensor - V132 - is GDPR compliant. By applying 3D ToF technology and LoRaWAN wireless transmission, the sensor only gets 3D depth information and transmits it without any personally identifiable information. Guaranteeing 100% privacy protection for visitors.

99.5% ultra-high accuracy

Breaking the limitation of RGB and AI technologies that hinder higher accuracy, 3D ToF technology efficiently increases the accuracy to 99.5%.

Large detection area

The VS132 is designed for a wide range of applications and supports a wide detection area.

With a FOV (Field-of-View) of 92.5° horizontal and 67° vertical and a detection range of up to 3 meters, an area of ​​up to 25 m² (6.27 x 3.97 m) can be monitored.

Smart U-turn detection

By looking at the flow of people, the sensor is able to detect U-turns and filter out false positive entrances or exits.

Distinguishing between people actually entering and leaving increases its reliability and usability, as you avoid counting people who wander into the entrance area more than once.

Works in all lighting conditions

The V132 relies on emitted near-infrared light, making it independent of ambient light. It will detect people even in complete darkness.

Local data storage for high reliability

The VS132 can store up to a million data records locally. This provides easy access to long-term statistics and ensures that important data is not lost even if there is a connection failure.

Specifications

Protocol LoRaWAN®
Frequency USA 915/AU915/KR920/AS923-1&2&3&4
Max. Tx power 16 dBm (868 MHz)/22 dBm (915 MHz)/19 dBm (470 MHz)
Sensitivity -137 dBm @300bps
Wise OTAA/ABP Class C
People counting
ToF FoV 92.5° horizontal, 67° vertical
Detection range 0.5 to 3m
Installation Height ≤ 3m
Accuracy >99.5%
Local storage 1,000,000 data records
Advanced setting Adjustment of the entrance and exit area
Interface
Wi-Fi IEEE 802.11 b/g/n, 2.4 GHz, support for configuration only
Ethernet port 1 × RJ45 10/100 Mbps Ethernet port (PoE PD), provides CGI for integration
Power consumption 2-pin 5.08mm terminal block
External characteristics
Power supply 1. 12 VDC, 2A through terminal block 2. 1 × 802.3 at PoE input
Power consumption Typical 7.5 W, max 28 W
Operating Temperature -10°C ~ +60°C
Storage temperature -20°C ~ +60°C
Relative humidity 0 ~ 95% (non-condensing)
Color & Material Black, aluminum alloy
Weight 296 gr
Dimension 140 × 50 × 50 mm (5.51 × 1.97 × 1.97 in)
Installation Ceiling mounting, wall mounting, embedded mounting

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