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Categories | Face Recognition Camera Module |
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Brand Name: | Shi Zun |
Model Number: | JP008 |
Place of Origin: | China |
MOQ: | Negotiable |
Price: | Negotiable |
Supply Ability: | 100+pcs+day |
Delivery Time: | 10 working days |
Packaging Details: | Length 230mm x Width 142.6mm x Height 88.5mm |
Payment Terms: | T/T |
Visible Light Camera Resolution: | 2 Megapixels |
Imaging Sensor: | CMOS |
Minimum Illumination: | 0.01Lux (Color Mode), 0.001Lux (Black & White Mode) |
Signal-to-Noise Ratio: | >56dB |
Infrared Camera Detector Type: | Uncooled Infrared Array Sensor |
Resolution: | 160x120 (Output: 384x288) |
Pixel Pitch: | 17μm |
Operating Wavelength Range: | 8–14μm |
Detector NETD: | ≤60mK (F/1, 300K, 50Hz) |
Frame Rate: | 15Hz |
Temperature Data Output: | Full-frame temperature output |
Temperature Measurement Range: | 20°C–50°C |
Measurement Distance: | 0.5–4 meters (optimal range: 0.5–2.5 meters) |
Field of View (Calculated): | 40° × 30° |
Detection Rate:: | 150–200 people per minute |
Effective Radiating Area: | 20mm x 30mm |
Surface Emissivity: | 0.96 ±0.02 |
Temperature Range: | Ambient Temperature +5°C) to 50°C |
Temperature Resolution: | 0.01°C |
Stability Accuracy: | Better than ±0.1°C |
Warm-Up Time: | <2 minutes |
Mainboard Parameters SoC: | Broadcom BCM2711 |
CPU: | 64-bit, 1.5GHz Quad-Core (28nm Process) |
GPU: | Broadcom VideoCore VI @500Hz |
Bluetooth: | Bluetooth 5.0 |
USB Ports: | USB 2.0 x 2 |
HDMI: | Supported |
Network: | Wi-Fi 802.11AC, Gigabit Ethernet |
Multimedia Support: | H.265 (4Kp60 Decode) H.264 (1080p60 Decode, 1080p30 Encode) OpenGL ES 3.0 Graphics |
Features: | IR-CUT Auto Switching, Backlight Compensation, Strong Light Suppression, Auto White Balance |
Working Voltage: | Standard 5.5V 10A Adapter |
Power Consumption: | <15W |
Installation Environment: | Indoor or Semi-Outdoor |
Installation Methods: | Bracket, Wall-Mounted, Ceiling-Mounted |
Dimensions: | Length 230mm x Width 142.6mm x Height 88.5mm |
Weight: | 1.5kg |
JP008 Elevated Body Temperature Screening Thermal Imaging Camera measuring and detecting a large flow of people within 0.05 seconds
Infrared Thermal Imaging Device Features:
AI Temperature Screening System
The JP008 integrates a high-sensitivity infrared camera,
high-definition visible light camera, high-precision blackbody, and
a high-performance temperature measurement engine. It is a
non-medical, AI-driven system featuring automatic alarms, a
user-friendly visualization platform, and a high-precision thermal
imaging detection system.
Leveraging artificial intelligence algorithms and infrared thermal imaging temperature measurement technology, the JP008 quickly screens individuals in a crowd for fever symptoms, providing precise temperature readings and alerts. This device is widely applicable in airports, train stations, schools, hospitals, factories, shopping malls, and other large public venues.
The system features automatic facial detection and snapshot capabilities, enabling rapid, millisecond-level forehead temperature detection with a measurement accuracy of ±0.3°C. Powered by AI-based temperature algorithms, the JP008 operates autonomously, requiring no manual intervention, to accurately detect and display individual temperatures with fast analysis.
Fast Detection:
Capable of measuring and detecting a large flow of people within
0.05 seconds.
High Sensitivity:
Achieves a temperature resolution of ±0.3°C, ideal for
long-distance measurements in high-traffic, large-area
environments.
Non-Contact Measurement:
Allows for temperature measurement without requiring direct
knowledge or interaction with the measured subject.
Exceptional User Experience:
Features powerful operability, flexibility, and scientific
functionality, with multi-platform control and display options.
Detector Type | Uncoiled Infrared Array Sensor |
Resolution | 160X120(384*288) |
Pixel Pitch | 17μm |
Detector NETD | ≤60mk(F/1,300K, 50Hz) |
Frame Rate | 15 Hz |
Temperature Measurement Data Output | Full Range Temperature Output |
Measurement Distance | 0.5–4 meters (optimal range: 0.5–2.5 meters) |
Detection Rate | 150–200 people per minute |
Resolution | 2 Megapixels |
Imaging Sensor | CMOS |
Minimum Illumination | 0.01Lux (Color Mode), 0.001Lux (Black & White Mode) |
Signal to Noise Ratio | >56dB |
Effective radiation area | 20mm*30mm |
Effective emissivity | 0.96 ±0.02 |
temperature range | (Ambient temperature+5°C)~(50°C) |
Temperature resolution | 0.01°C |
Stability Accuracy | Better than ±0.1°C |
Heating time | <2 minute |
SOC | Broad com BCM2711 |
CPU | 64 bit, 1.5GHz Quad-Core (28nm Process) |
GPU | Broadcom VideoCore VI @500Hz |
Bluetooth | 5.0 |
USB | USB 2.0*2 |
HDMI | Supported |
Network | Wi-Fi 802.11AC, Gigabit Ethernet |
multimedia | H.265(4Kp60 decode) H.264(1080p60 decode,1080p30 encode) OpenGL ES 3.0 Graphics) |
Features | IR-CUT Auto Switching, Backlight Compensation, Strong Light Suppression, Auto White Balance |
Working Voltage | Standard 5.5V 10A Adapter |
Power Consumption | <15W |
Installation Methods | Bracket, Wall-Mounted, Ceiling-Mounted |
Dimensions | Length 230mm x Width 142.6mm x Height 88.5mm |
Weight | 1.5kg |
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