Milesight IoT
Milesight VS135-915M Ultra ToF People Counter
Milesight VS135-915M Ultra ToF People Counter
SKU:VS135-915M
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Milesight VS135-915M Ultra Time-of-Flight technology (ToF) People Counter AS923 Milesight VS135 LoRaWAN AU915/AS923 Ultra Time-of-Flight technology (ToF) People Counter, actionable People Counting Insights for Every Scene... Getting the dwell time of each person within maximum 4 customized regions to enable people counting to be more helpful in actual applications.... 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. Featuring the power of deep learning AI and 2nd generation ToF technology, the counter achieves precise and anonymous people counting capabilities, making people counting smarter than ever.... Features Bi-Directional People Counting Regional People Counting & Dwell Time 6.5M High Ceiling Mounting Version Available IP65 Rated Waterproof Protection Ultra High Accuracy of 99.8% 100% Anonymous Detection (GDPR Compliant) Radar Based ESG Friendly Working Mode Staff Detection & Adults/Children Differentiation Insightful Group Counting & Advanced Heat Map Extendable Multi-Device Stitching Details Manufacturer's Code VS135-915M Version LoRaWAN®Version AU915/AS923 ToF FoV Standard Version: 98° Horizontal, 80° Vertical, High Ceiling Mount: 60° Horizontal, 45° Vertical ToF Light Beam 940nm (Invisible) Measuring Accuracy Standard Version: ? 6.5cm Detection Range Standard Version: 0.5 ~ 3.5m, High Ceiling Mount: 2~ 6.5m Recognition Rate Up to 99.8% Installation Height Standard Version: ? 6.5m Luminous Mode Auto / Always On Bi-Directional People Counting Up to 4 detection lines for bi-directional people counting U-turns Filtering Filter redundant counting of people wandering in the bi-directional people counting areas Regional People Counting & Dwell Time Detection Up to 4 detection areas (up to 10 decagon for each area) for regional people counting and dwell time detection Group Counting support Children/Adults Differentiation support Staff Detection support Heat Map Motion Heat Map, Dwell Heat Map Multi-Device Stitching Up to 4 devices stitching to expand coverage Data Retransmission support 8 x 50000 data retransmission packets Video Validation support 1 channel video validation ( the duration of 4 hours) Network Protocol HTTP, HTTPS, MQTT, MQTTS, NTP, etc. Power Input 1 × DC Jack Connector Alarm I/O 45292 Wi-Fi IEEE 802.11 b/g/n, 2.4GHz (AP Mode for configuration) Button 1 × Reset/Wi-Fi Button LED Indicators 1 × RGB LED indicator Local Storage Store up to one million data records and supports to export csv file Power Supply 802.3at PoE+ or DC 12V/2A Operating Temperature - Relative Humidity 0 - 95% (Non-condensing) Ingress Protection IP65 Dimension 200 x 35 x 85 mm (7.87 x 1.38 x 3.35 in) Colour White or Black (Optional) Installation Ceiling Mounting, Extended Ceiling Mounting & Lintel Mounting (with Optional Multifunctional Bracket) Manufacturer Website Firmware & Downloads Datasheets and User Guides Blog Wiki Knowledge Base Case Studies IoT Academy Details Contains AI Sensor, Mounting kit, Mounting Sticker, Staff Tags, Warranty Card, QSG Key features 20°C ~50°C Capturing foot traffic within maximum 4 customized regions to gain actionable insights in various applications With simple configurations, the sensor can smoothly fuse up to 4 sensors to extend the covering area 3.5cm, High Ceiling Mount: ?
Key features
- 3.5m, High Ceiling Mount: ?
- Counting people in and out concurrently and detecting the U-shape tracks to filter out redundant counting of people wandering
- The quadruple insights offer a clearer picture of the number in the large target area for more integrated and valuable information
- The sensor captures people flow, dwell time, and motion to generate a comprehensive heat map
- Time-of-Flight technology is an effective means of counting people without intruding on their privacy or private data
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