huperLab Flame Detection
huperLab Flame Detection is an intelligent vision-based analytics system which can timely detect suspicious fire incident from the video sources of HD-SDI, IP and CCTV cameras. The system utilizes the real-time captured image to quickly analyze and verify characteristics of fire in seconds. Once the flame is detected, the system will send alerts to the central monitor center and push event notification to operator’s mobile devices within 15 seconds for early warning.
Compared to the fire detectors, huperLab Flame Detection enables to cover wide-open space and longer distance within the camera field of view. As huperLab’s patented and self-developed vision algorithm technology, worked with selected cameras, the system is able to adjust settings and parameters to better fit for difficult environment conditions for higher accuracy. It’s easy to be applied to the factory, warehouse, petrol and gas station, school, museum and so on.
Key Features
- Live monitoring and video recording
- Instantly verify fireincidents
- Recorded video footage and prior event recording can be presented as forensic evidence
- Masks settings for specific zone to prevent causing false alarm
- Provide simple parameter adjustments to fit for different scenarios
- Immediately analyze and identify captured videos based on irregular shape, color changes and swaying mode of suspicious fire
- Event alert will be sent within 10-15 seconds
- Can timely activate integrated emergency equipment
- No additional sensor or equipment required
- Low limits to the ceiling height or sensor angle
- Detection coverage within the camera field of view
- Ideal to integrate with the alarm sensors or other I/O devices
- Early reaction prior to fire detector trigger
- Instantly send event alert by email, fax, siren, flash and FTP event images
- Trigger I/O devices or PTZ camera to preset position when events detected
- Instant push video notifications to operator’s smartphones and tablets
- Manage events from multiple huperVision remote surveillance sites
- Generate event logs for event searching and archiving
- Support alert location marked on the eMap/Google to quickly control and aware event locations
huperLab Flame Detection System
Specifications
Product Model
Vento 3
huperAurora908
CPU
Intel® Core™ i3
Intel® Core™ i7
Channels
4CH
8 CH
System RAM
8GB DDR4
8GB DDR4
System Storage
1 TB HDD
M.2 SSD
HDD
Optional, 2.5” Internal SATA3 HDD or 3.5” Internal SATA3 HDD x1
Up to 3 HDD
Real Panel Ports
USB 3.1 x4, HDMI 1.4 x1, DisplayPort 1.2 x1, Mic-in x1, Line-out x1, RJ-45 x2, DC-in 12V (DIN 4-pin) x1, GPIO Pin x8
DSUB x1, DVI x1, HDMI x1, GbE LAN x1, USB x6, Line-out x1, Mic-in x1
OS
Microsoft® Windows 10 64-bit
Microsoft® Windows 10 64-bit
Power Consumption
AC 110-240V/190W
AC 100-240V/450W
Dimension
305 mm x 279 mm x 54 mm
315(W)x75(H)x255(D) mm
*Note:The system configuration may vary with different display/recording rates and applications.
Flame Detection Digital Camera
Product Model
HC-D220CS
TV System
PAL / NTSC
Image Sensor
Sony 1/2.8” Mega Pixel CMOS Image Sensor
Scan Format
1920×1080@60fps, 1920×1080@50fps,1920×1080@30fps, 1920×1080@25fps
Scanning System
Progressive scan
Resolution
800 TVL (CVBS)
Video Format
800 TVL (CVBS)HD-SDI : 1080p30, 1080p25, 1080i60, 1080i50, 720p60, 720p50, 720p30, 720p25
Minimum Illumination
0.02lx
Signal to Noise Ratio
52dB(Max)
Day & Night Mode
Auto / Color / B&W / External
White Balance
AUTO / ATW / AWB (One Push)
Digital Wide Dynamic Range
Off / Low / Mid / High
Auto Exposure
1/30(25) to 1/30000 sec
Video Output
Digital HD-SDI
Lens
Optional CS mount Lens
Operation Temperature
-10ºC ～ 50ºC
Storage Temperature
-30ºC ～ 70ºC
Humidity
80% Max
Power Source
DC+12V / 270mA
Dimension
120mm(L) X 59mm(W) X 80mm(H)