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Fixed Recognizer

Fixed Recognizer

Model:AI object recognize
AI object recognize
LonRock AI Target Recognizer is an AI edge computing device designed to analyze video feeds from network cameras, identify targets, match target movements, and analyze target trajectories (including counting targets). It is officially named LonRock Recognizer.  This product is the fixed version (distinct from the Mobile version) and is recommended for deployment in fixed locations. It should be connected to cameras and management computers via a local area network (LAN).
 
The Fixed LonRock Recognizer requires a TF card for data storage.
 
The recognizer supports customizable trajectory analysis (e.g., cross-line counting, path detection, etc.) based on project requirements.  
 
It connects to one network camera at a time via the ONVIF protocol and can simultaneously track over 60 targets.  
 
Key Features:  
- AI-Powered Edge Computing – Real-time target recognition and trajectory analysis.  
- TF Card Storage – Local data retention (TF card not included). 
- Customizable Analytics – Adjustable tracking logic (e.g., directional counting).  
- Low Power Consumption – Energy-efficient (<15W) operation.  
- ONVIF Compatibility – Seamless integration with network cameras.
 

Model: LRK66A-Z

Camera Connection

Interface Protocol

ONVIF

Video Encoding

H.264/H.265

Resolution

720P ~ 5MP

Input Method

Ethernet Port ETH0

Additional Notes

High light sensitivity, short exposure time

Data Storage

Storage Method

TF Card required (saves ~15s video before and after new target detection)

Backup Method

USB drive backup

Human-Machine Interaction

Device Detection

Windows-based detection tool

Configuration & Monitoring

Web browser access

PC Interface

Ethernet Port (ETH0)

Physical Design

Ethernet Ports

Single ports (ETH0)

Power Supply

5V/3A,12W

Dimensions

90x60x30mm

Net Weight

200g

Working Temperature

0℃ ~ 55℃

Working Humidity

10%-90%

 

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