Smart People Counting Camera (T1-PCA01)
MODEL: T1-PCA01
Product Introduction
The product adopts a unique embedded appearance design, which has a beautiful appearance and minimal impact on decoration. At the same time, in a very small volume, a domestic multi-core Al processor is embedded, and high-precision 2D/3D Al passenger flow analysis algorithm is integrated. It provides attribute recognition function and accurately calculates individual passenger flow; Leading in the industry in accuracy, strong adaptability to scenarios, flexible deployment architecture, very suitable for scenarios such as supermarkets, brand chains, and tourist attractions; Scenarios in the field of public passenger flow, such as subway airport stations, parks and exhibition halls, and government offices.
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Products Function
- Built in dual core AI processor, inference performance up to 2.0 TOPS
- Built in high-precision AI passenger flow analysis algorithm, including pedestrian detection, pedestrian tracking, and other algorithms, supporting real-time
- pedestrian trajectory analysis, etc
- Supports multiple focal lengths
Products Feature
Products Feature- Compact appearance and convenient installation
- Embedded intelligent algorithm
- Wide installation height range
- High accuracy of comprehensive scenario passenger flow statistics
- The product covers a wide range
- The product has low requirements for the working environment
Production Parameters
Deepano has already released three different types of people counting network cameras, which can satisfy different requirements from end-users. They are People Counter (Model: T1-PCA01), Accurate people counter (Model: T1-PCA02) and TOF People Counter (Model: T1-FRA03).
Model | T1-PCA01 | T1-PCA02 | T1-PCA03 |
| Processor | AI Processor | AI Processor | AI Processor |
| Computational Power | 2.0 TOPS | 1.0 TOPS
| 1.2 TOPS |
| Sensor | 1/2.8 “Starlight level CMOS | 1/1.8 “Starlight level CMOS | 1/2.0 “Starlight level CMOS |
| Storage | 1GB DDR3+8GB eMMC (other 16GB/64GB/128GB options) | 1GB DDR3+8GB eMMC | 1GB DDR3+8GB eMMC |
| Focal Length | Supports multiple focal lengths: 1.1mm, 2.1mm, 2.8mm | Fixed focus: 2.1, 2.8, 4, 8mm Zoom: 7-22mm | NA |
| Video Compression | Supports H.264 real-time dual stream video compression, with maximum 1080p@30fps + 768×512@30fps | Upports H.264/H.265 real-time video compression, 720P@25fps 1080P@25fps | 320* 240@30fps |
| Video Transmission | Supports ONVIF protocol and RTSP/RTP/RTCP streaming protocol | Supports RTSP/RTP/RTCP streaming media transmission | NA |
| Intelligent Algorithms | Algorithms such as pedestrian detection and tracking support real-time pedestrian trajectory analysis | Built in algorithms such as pedestrian detection, pedestrian tracking, facial detection, and facial capture; | NA |
| Business Capability | Statistics of inbound and outbound passenger flow, passenger flow through stores, analysis of regional attention, and statistics of stopping heat maps, etc | Support detection, tracking, and facial capture of pedestrian targets; Support standard passenger flow statistics and individual passenger flow capture (facial capture, individual attributes) | Statistics of inbound and outbound passenger flow |
| Network Interface | RJ45 interface, supporting 10/100Mbps adaptation | RJ45 interface, supporting 10/100Mbps adaptation | RJ45 interface, RS485 interface |
| Work Environment | Temperature: -20~70 ℃ Humidity:<93% | Temperature: -25-55 ° C Humidity:<93% | Temperature: -30~60 ° C |
| Power Supply Method | DC 12V, POE | DC 12V, POE | DC 12 |
Application Scenario
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