SUNPN AI Visual Counting Camera-Featuring Helmet Recognition, Visual Counting, and Facial Recognition Attendance Functions
The SUNPN AI Visual Counting Camera is a multi-functional passenger flow counting camera that integrates visual counting, helmet recognition, and facial recognition attendance. This all-in-one AI visual counting camera effectively solves problems such as safety hazards, attendance difficulties, crowd control, and unauthorized access in construction sites, factories, mines, and elevators.
Digital site management requires reliable visual monitoring hardware, and the SUNPN AI Visual Counting Camera, with its advanced deep learning algorithm, is a comprehensive passenger flow counting camera. Unlike single-function surveillance cameras, our AI visual counting camera integrates visual counting, helmet recognition, facial recognition attendance, stranger intrusion alarms, and smoke and flame detection into a compact device. The AI visual counting camera eliminates the loopholes of traditional manual supervision and is suitable for various scenarios such as industrial, commercial, and building monitoring, effectively reducing labor costs and operational risks.
Digital site management requires reliable visual monitoring hardware, and the SUNPN AI Visual Counting Camera, with its advanced deep learning algorithm, is a comprehensive passenger flow counting camera. Unlike single-function surveillance cameras, our AI visual counting camera integrates visual counting, helmet recognition, facial recognition attendance, stranger intrusion alarms, and smoke and flame detection into a compact device. The AI visual counting camera eliminates the loopholes of traditional manual supervision and is suitable for various scenarios such as industrial, commercial, and building monitoring, effectively reducing labor costs and operational risks.
1、Core Operational Pain Points Solved by AI Visual Counting Camera
Traditional monitoring tools lack integrated AI vision capabilities, bringing four major management headaches that the AI Visual Counting Camera fully resolves:
1.Elevator Overload RisksWithout real-time crowd statistics from visual counting modules, elevator operators cannot limit passenger numbers. Overloading leads to mechanical faults and passenger entrapment. The AI Visual Counting Camera’s visual counting feature sets occupancy limits and triggers linkage overload alarms automatically.
2.Unregulated Helmet Wearing at Construction & Mining SitesManual patrols fail to cover all work zones, and workers without helmets face severe injury risks. The helmet identification algorithm embedded in the AI Visual Counting Camera captures violations, plays voice reminders and stores snapshot evidence 24/7.
3.Unauthorized Stranger Intrusion Into Confidential AreasFactories, labs and corporate offices need to block outside trespassers to protect data and assets. The AI Visual Counting Camera’s built-in stranger detection sends audio-visual alarms and captures intruder photos to prevent tailgating and secret information leakage.
4.Cumbersome Staff Attendance ManagementStandard facial attendance terminals only record active clock-ins, leaving no proof for employees who forget to check in. The facial recognition attendance function of the AI Visual Counting Camera records every staff member passing through monitored zones, generating retrievable attendance logs for human resources teams.
2、Core Advantages of the SUNPN AI Visual Counting Camera
Our AI visual counting camera surpasses ordinary people counting cameras with six integrated advantages:
1. High-Precision Visual Counting: Utilizing a local AI chip, the camera's visual counting function can accurately count the number of people in elevators, factory corridors, and lobby entrances in real time. Customizable occupancy thresholds support automatic alarm signals and device linkage.
2. Reliable Helmet Recognition: Tailor-made for construction sites and mines, this people counting camera can instantly identify workers not wearing safety helmets. On-site voice prompts and background violation recording functions enable unattended safety supervision.
3. Comprehensive Facial Recognition Attendance: The AI visual counting camera automatically collects facial data as employees pass through. All records are stored on the backend platform, providing convenient supplementary attendance vouchers for missed clock-ins and simplifying human resources workflows.
4. Dual-Mode Stranger Intrusion Alarm: Users can upload their internal employee facial database to the AI visual counting camera. When an unfamiliar face is detected, the camera will activate a flashing warning light and a local audio alarm, while simultaneously uploading a snapshot to the management system. 5. Additional Fire and Mask Detection Functions: The AI visual counting camera can recognize faces wearing masks without requiring the user to remove them. An additional smoke and flame detection module can detect fire hazards and send immediate danger alerts, achieving comprehensive risk prevention.
5.Flexible Installation and Wide Environmental Adaptability: The AI visual counting camera supports ceiling and wall mounting, has an IP66 waterproof rating, and can operate stably in a temperature range of -20℃ to +60℃. It can operate smoothly in elevators, workshops, construction sites, mines, and office buildings, and is suitable for indoor and semi-outdoor deployments.
3、AI Visual Counting Camera Solution
The full monitoring system centered on the AI Visual Counting Camera operates across three interconnected layers:
1.Front-End Hardware LayerThe AI Visual Counting Camera collects live video feeds via its lens. Its on-board AI processor runs visual counting, helmet identification and facial recognition attendance algorithms locally, generating instant alarm signals without relying on cloud servers.
2.Data Transmission LayerEquipped with a standard RJ45 10/100Mbps Ethernet port, the AI Visual Counting Camera transmits real-time crowd data, violation snapshots and attendance records to the backend platform. It supports POE power supply to simplify field wiring work.
3.Backend Management LayerThe matching management software receives all data sent by the AI Visual Counting Camera. Administrators check real-time crowd data from visual counting outputs, export facial recognition attendance spreadsheets, review helmet violation images and stranger alert logs, and remotely adjust all AI function parameters.
4、Practical Application Value of Deploying AI Visual Counting Cameras
Installing SUNPN AI visual counting cameras can bring measurable safety, management, and economic benefits to multiple industries:
1. Elevator Operators: Visual counting modules prevent elevator overload malfunctions, reduce maintenance costs, and eliminate passenger entrapment accidents.
2. Construction and Mining Companies: Helmet recognition provides 24/7 safety monitoring, reducing the probability of workplace accidents and avoiding hefty accident compensation claims.
3. Factories and Laboratories: Stranger intrusion alarms prevent unauthorized personnel from entering, protecting proprietary formulas, experimental data, and valuable production equipment.
4. Corporate Parks: Facial recognition attendance solves the problem of missed employee clocking in, significantly reducing manual attendance workload and lowering administrative costs.
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Intelligent visual surveillance has become a core component of digital transformation in industry and commerce, and the SUNPN AI visual counting camera can replace a variety of single-purpose surveillance devices. This advanced personnel counting camera integrates visual counting, helmet recognition, facial recognition attendance, intrusion detection, and fire monitoring, effectively reducing equipment procurement and maintenance costs. Whether you are managing a construction site, manufacturing workshop, office building, or passenger elevator, the AI visual counting camera can meet all your on-site personnel monitoring needs.
Product Specifications
| processor | AI computing power CPU |
| network | RJ45/Wifi/4G |
| operating system | linux |
| communication protocol | TCP/RS485/RS232/UDP/HTTP/RTSP/RTCP DHCP/FTP/DDNS/PPPoE |
| support | Support storage and memory; support built-in database; support character overlay OSD;Support Onvif protocol |
| imaging device | Sony |
| lens | Wide-angle/1.8/2.1/2.8/4.0/12mm |
| Installation height range | 1.8M-10M |
| power supply | POE/10-60V |
| recognition width | 0.5M-15M |
| power consumption | <5W |
| Recognition time | <10MS |
| operating temperature | 5% to 95% |
| compressed format | H264/H265 |
| Main materials | aluminum alloy casing |
| bitstream | Secondary stream/auxiliary stream/main stream |
| color | white |
| encoding decoding capability | 2688*1536@30fps+720*480@30fps+360*240@30fps Encoding and outputting simultaneously |
| size | Regular size 191*86*83mm/Explosion-proof model 340*150mm |
| weight | <800g |
1: All-in-one Multi-AI Algorithm Integration
This AI Visual Counting Camera works as a powerful people counting camera, integrating visual counting, helmet identification, facial recognition attendance, stranger intrusion alarm and fire detection algorithms. It replaces several single-function cameras, greatly cutting equipment purchase and maintenance costs for factories, construction sites and offices.
2: Local Edge Computing Without Cloud Dependence
Built-in high-performance AI chip enables the AI Visual Counting Camera to run visual counting, helmet identification and facial recognition attendance calculations locally. Real-time judgment and instant alarm signals can be output without connecting to cloud servers, ensuring stable monitoring even under offline network conditions.
3: Wide Scenario Adaptability & Flexible Installation
The AI Visual Counting Camera supports both wall mount and ceiling mount installation. With IP66 waterproof rating and a working temperature range of -20℃ to +60℃, this people counting camera operates stably in elevators, construction yards, mining areas, production workshops and office buildings for indoor and semi-outdoor use.
4: Complete Backend Data Management Function
All data captured by the AI Visual Counting Camera, including visual counting real-time footfall data, helmet violation snapshots and facial recognition attendance records, can be uploaded to the supporting management platform. Managers can export reports, check historical records and remotely adjust all AI function parameters at any time.
This AI Visual Counting Camera works as a powerful people counting camera, integrating visual counting, helmet identification, facial recognition attendance, stranger intrusion alarm and fire detection algorithms. It replaces several single-function cameras, greatly cutting equipment purchase and maintenance costs for factories, construction sites and offices.
2: Local Edge Computing Without Cloud Dependence
Built-in high-performance AI chip enables the AI Visual Counting Camera to run visual counting, helmet identification and facial recognition attendance calculations locally. Real-time judgment and instant alarm signals can be output without connecting to cloud servers, ensuring stable monitoring even under offline network conditions.
3: Wide Scenario Adaptability & Flexible Installation
The AI Visual Counting Camera supports both wall mount and ceiling mount installation. With IP66 waterproof rating and a working temperature range of -20℃ to +60℃, this people counting camera operates stably in elevators, construction yards, mining areas, production workshops and office buildings for indoor and semi-outdoor use.
4: Complete Backend Data Management Function
All data captured by the AI Visual Counting Camera, including visual counting real-time footfall data, helmet violation snapshots and facial recognition attendance records, can be uploaded to the supporting management platform. Managers can export reports, check historical records and remotely adjust all AI function parameters at any time.
