Applications

VTK Public Security

Features

    • Workstation-grade Platform : 13th Gen Intel® Core™ i7 Processor (Raptor Lake-S) running with Intel® R680E Chipset
    • Diverse of hardware and software combinations
    • Image Recognition for Hazard Detection
    • Simultaneously detect smoke and flames by using imaging
    • Customizable electronic fence boundaries and personalized personnel dwell time settings
    • Automatically detects whether personnel wears protective equipment (safety helmets/vests)
    • The fastest and most accurate face recognition on the market
    • Deep learning algorithm capable of simultaneously detecting multiple recognition boxes and intruders
    • Real-time alert for personnel intrusion, reducing the chances of dangerous incidents
    • High accuracy rate of more than 90% (85% at night)
    • Flexible compatibility with ONVIF IP cameras
    • Can recognize multiple targets in the same frame
    • Works with VTK Public Security system, providing lowlatency, real-time Live View, and a complete real-time notification system with multiple notification platforms

      

     

    The VTK series is an image recognition-based safety monitoring system used in various industries. It employs image recognition to detect potential hazards and promptly alerts responsible personnel, minimizing risks and losses. It offers risk management features for dangerous areas, such as rooftops, construction sites, and indoors, including access control and fire safety management. Real-time information is accessible through the management platform, with notifications sent via mobile, email, tablets, or lighting, enabling quick reactions by site managers to prevent catastrophes.
     
     
     

    Application Scenario

     
    Face Recognition
    VTK face recognition combines access control with advanced features.
    ・Complete attendance functions
    ・Blacklist/whitelist notifications
    ・3D liveness verification
    ・Access control management
    Wearables Detection
    VTK wearables detection system addresses safety concerns in construction sites by enforcing compliance with regulations.
    ・Detection of wearing helmets/ safety vests
    ・Detection of wearing protection equipment
    Tripwire Detection
    VTK tripwire detection utilizes AI algorithms to detect and raise alarms when specific objects enter dangerous areas.
    ・Customizable detection regions
    ・Restricts trespassing in different environments
    ・Immediate notifies responsible personnel
    Blaze Detection
    VTK tripwire detection utilizes AI algorithms to detect and raise alarms when specific objects enter dangerous areas.
    ・VTK blaze detection employs AI algorithms to accurately identify smoke and flames.
    ・Immediate alarms upon fire detection
    ・Emergency management
    ・Remote confirmation of real-time conditions

     

Overview

    The VTK Solution is a turn-key solution designed for AI applications at the Edge, including Traffic Vision, Surveillance, and Factory Automation. The solution functions as an image recognition-based safety monitoring system, offering real-time AI inference capabilities, such as video analytics, object recognition, and data processing, allowing businesses to make informed decisions swiftly and with precision. 

    The VTK Public Security Solution combines the high-performance AI Computing System ECX-3000 PEG powered by Intel® Core™ platform with optional public security software license to enable applications, including Face Recognition, Wearable Detection, Tripwire Detection, and Blaze Detection.

     

Specifications

ECX-3400 PEG 
Processor Intel® Core™ i7 Processor (Raptor Lake-S) with Intel® R680E Chipset
Memory 2 DDR5 4800MHz SO-DIMM, 32GB 
OS Windows 11
Graphics
Graphics Processor
- Intel® UHD Graphics 770/730 driven by Intel® Xe Architecture 
- NVIDA GeForce RTX 3050

			
Interface
- 1 DVI-I : Up to 1920 x 1080 @60Hz
- 1 HDMI : Up to 1920 ×1080 @60Hz
- 2 DisplayPort : Up to 7680 x 4320 @60Hz/5120 x 2880 @60Hz
- 1 x HDMI Port (from Gaphics Card)
- 3 x DisplayPort (from Graphics Card)
I/O Interface
Serial  4 COM RS-232/422/485
USB
- 6 USB 3.2 Gen 2, USB Type A Connector
- 1 USB 3.2 Gen 2x2, USB Type C Connector supports max20Gbps data transfer (15W, 5V/3A)
LAN
- LAN 1 : Intel® I219LM GigE LAN
- LAN 2 L Intel® I210 GigE LAN
- LAN 3 to LAN 6 : 2.5GigE IEEE 802.3at (25.5W/48V) PoE+ by Intel® I226, RJ45 Connector
Audio 1 Mic-in, 1 Line-out
Isolated DIO 32 Isolated DIO (16 DI, 16 DO)
SIM Card  3 External Nano SIM Card Socket
Storage
SATA 4 SATAIII (6Gbps) support software RAID 0,1,5,10
M.2 1 M.2 Key M Socket (2280, PCIe x4)
Expansion
Mini PCIe 1 Mini PCIe Socket for PCIe/USB/SIM Card
M.2
- 1 M.2 Key B Socket (3042/2280, PCIe/USB 3, default/USB 2)
- 1 M.2 Key B Socket (3052/2280, PCIe/USB 3, default/USB 2)
- 1 M.2 Key E Socket (2230, PCIe/USB)
Power
Power Input DC 12V to 50V Power Input
Remote Switch 3-pin Terminal Block 
Mechanical
Dimension  260mm x 240mm x 104mm (10.24"x9.45"x4.09")
Mounting - Wallmount by mounting bracket
Environment
Operating Temperature -20°C to 45°C (-4°F to 113°F), with System Fan
Storage Temperature -40°C to 85°C (-40°F to 185°F)
Humidity 5% to 95% Humidity, non-condensing

 

Camera
Model Name   MBL050M-ORF028 Camera Lens (5MP)
Lens Type  
f2.8mm, F1.6, fixed

			
Field of View   97°(H) 71°(V)
Minimum Illumination   Color : 0.0572 Lux F1.6, B/W: 0.00460 Lux when IR on
IR Distance   30M, Smart IR
General
On Board Storage   1 x micro SDHC/SDXC Slot (card not included), Recording & Playback
I/O Interface  
- 1 Reset Button, 1 Default Button
- 1 DC12V Terminal Block
- 1 RJ45 IEEE 802.3, 10/100 Base-T/TX
Memory   RAM 512MB, Flash 128MB
ONVIF Compliance   Profile S/G/T/M, test tool 21.06
Image
Exposure Mode   Auto, Shutter-Priority, Manual, Flickerless, True WDR
Shutter Speed   1/2s~1/10,000s
WDR   True WDR
Video
Maximum Frame Rate   3 simultaneous streams, up to 5MP@30fps
Mechanical
Casing Material   Metal Housing- Aluminum Alloy
Weathering Resistance   IP67
Vandal Resistance   IK08
Dimension   84mm x 79mm x 147mm
Weight   490g
Electrical
Power Source   DC 12V, PoE
Power-over-Ethernet   IEEE 802.3af, Class 3
Power Consumption   6.7W (Max)

 

Public Security Software License
Product Description   Face Recognition
Video Format
Protocol Support  
Utilizes the RTSP connection protocol

			
Image File   MP4/AVI/MKV
Encoding Format   H.264/H.265
Development Tools   Support SDK/API
Smart Recognition
Multi-Object Recognition Supported  
- AI deep learning image analysis technology
- Setting multiple detection zones
- Simultaneous multi-person recognition
- Human Face
Real-Time Reporting   Pre-warning events are sent to the central management system for administrators to integrate and manage
Video Recording and Storage  
- Support Full-time recording/Event-based recording
- Customized monitoring and retention for verification
Recognition Time   Within 0.1 sec.
Alarm Notification
Reporting Format   Email/Line/SMS/Http Push
Reporting Speed   Event occurrence within 20 seconds
Alarm Events   Blacklist detection, network disconnection
Recognition Accuracy
Daytime Detection    Over 90%
Nighttime Detection (with Illumination above 0.01 lux)   Over 85%
AI Recognition Requirement
Environment   Full-color daytime/Nighttime IR images
Detection Distance   Within 20 meters
Camera Installation Height   Installation height is lower than 4 meters Recognition height angle < 30 degrees
Camera and Limitations   Horizontal/Vertical angle < 30 degrees
Tilt angle < +/-5 degrees

 

Public Security Software License
Product Description   Tripwire Detection
Video Format
Protocol Support  
Utilizes the RTSP connection protocol

			
Image File   MP4/AVI/MKV
Encoding Format   H.264/H.265
Development Tools   Support SDK/API
Smart Recognition
Multi-Object Recognition Supported  
- AI deep learning image analysis technology
- Setting multiple detection zones
- Simultaneous multi-person recognition
- Configurable maximum number of people/dwell time
Real-Time Reporting   Pre-warning events are sent to the central management system for administrators to integrate and manage
Video Recording and Storage  
- Support Full-time recording/Event-based recording
- Customized monitoring and retention for verification
Recognition Time   Within 0.1 sec.
Alarm Notification
Reporting Format   Email/Line/SMS/Http Push
Reporting Speed   Event occurrence within 20 seconds
Alarm Events   Obstacle ahead, object abnormality, network disconnection
Recognition Accuracy
Daytime Detection    Over 90%
Nighttime Detection (with Illumination above 0.01 lux)   Over 85%
AI Recognition Requirement
Environment   Full-color daytime/Nighttime IR images
Detection Distance   Within 20 meters
Camera Installation Height   Installation height is lower than 4 meters Recognition height angle < 30 degrees
Camera and Limitations   Horizontal/Vertical angle < 30 degrees
Tilt angle < +/-5 degrees

 

Public Security Software License
Product Description   Blaze Detection
Video Format
Protocol Support  
Utilizes the RTSP connection protocol

			
Image File   MP4/AVI/MKV
Encoding Format   H.264/H.265
Development Tools   Support SDK/API
Smart Recognition
Multi-Object Recognition Supported  
- AI deep learning image analysis technology
- Setting multiple detection zones
- Simultaneous multi-person recognition
- Blaze and Smoke
Real-Time Reporting   Pre-warning events are sent to the central management system for administrators to integrate and manage
Video Recording and Storage  
- Support Full-time recording/Event-based recording
- Customized monitoring and retention for verification
Recognition Time   Within 0.1 sec.
Alarm Notification
Reporting Format   Email/Line/SMS/Http Push
Reporting Speed   Event occurrence within 20 seconds
Alarm Events   Fire detection, network disconnection
Recognition Accuracy
Daytime Detection    Over 90%
Nighttime Detection (with Illumination above 0.01 lux)   Over 85%
AI Recognition Requirement
Environment   Full-color daytime/Nighttime IR images
Detection Distance   Within 20 meters
Camera Installation Height   Installation height is lower than 4 meters Recognition height angle < 30 degrees
Camera and Limitations   Horizontal/Vertical angle < 30 degrees
Tilt angle < +/-5 degrees

 

Public Security Software License
Product Description   Wearables Detection
Video Format
Protocol Support  
Utilizes the RTSP connection protocol

			
Image File   MP4/AVI/MKV
Encoding Format   H.264/H.265
Development Tools   Support SDK/API
Smart Recognition
Multi-Object Recognition Supported  
- AI deep learning image analysis technology
- Setting multiple detection zones
- Simultaneous multi-person recognition
- Person, helmet and safety vast
Real-Time Reporting   Pre-warning events are sent to the central management system for administrators to integrate and manage
Video Recording and Storage  
- Support Full-time recording/Event-based recording
- Customized monitoring and retention for verification
Recognition Time   Within 0.1 sec.
Alarm Notification
Reporting Format   Email/Line/SMS/Http Push
Reporting Speed   Event occurrence within 20 seconds
Alarm Events   No helmet/safety vest, network disconnection
Recognition Accuracy
Daytime Detection    Over 90%
Nighttime Detection (with Illumination above 0.01 lux)   Over 85%
AI Recognition Requirement
Environment   Full-color daytime/Nighttime IR images
Detection Distance   Within 20 meters
Camera Installation Height   Installation height is lower than 4 meters Recognition height angle < 30 degrees
Camera and Limitations   Horizontal/Vertical angle < 30 degrees
Tilt angle < +/-5 degrees

 

Resources

Item File Name Format File Update Download
VTK Public Security VTK Public Security Flyer (EN) .PDF 2023/10/25 Download
VTK Public Security VTK Public Security Datasheet .PDF 2023/10/25 Download

Inquiry

Product Description Qty
VTK-PSC-1000 ECX-3400 PEG, Intel® Core™ i7-13700TE, RAM, SSD, Camera, optional for SW license
Face Recognition Face Recognition Software Kit
Tripwire Detection Tripwire Detection Software Kit
Blaze Detection Blaze Detection Software Kit
Wearables Detection Wearables Detection Software Kit
PWA-280WB-WT 280W, 24V, 85V AC to 264V AC Power Adapter with 3-pin Terminal Block (7.62mm pitch), Wide Temperature -30°C to +70°C
PWA-330WB 330W, 24V, 90V AC to 264V AC Power Adapter with 3-pin Terminal Block
4G Module Mini PCIe 4G/GPS Module with Antenna
5G Module 5G Module with Antenna
WiFi & Bluetooth Module WiFi & Bluetooth Module with Antenna