Body temperature detection dynamic face recognition tablet is an access control product developed using the latest face mask recognition algorithm and thermal imaging body temperature detection technology. The system supports automatic switching in 1: 1 and 1: N modes. Based on the Android system environment, it has the features of face recognition speed and temperature detection in seconds, high accuracy, high security, and good stability. It now can widely be applied for public access control projects for better prevention of COVID-19 as it can detect face+body temperature(thermal body heat)+face mask indication to alert people as long as public health and safety require as new coronavirus is recently under a tough situation.
Applicable scene
Residential quarters, office buildings, schools, government units, tourist attractions, factory sites, kindergarten,etc. Applied equipment like turnstile gates, speedstiles, speed gates, flap barriers,full height turnstile gates/revolving doors, sliding gates, hidden gates, interlock gates, immigration gates, etc.
CPU
ARM RK3399 (28 nm) 6-core 64-bit processor, large-core Cortex-A72 (dual-core) + small-core Cortex-A53 (quad-core) clocked at 2.0GHz
RAM
RAM 2GB
Storage
ROM 16GB
operating system
Android 7.1.2
Display
8-inch LCD display with resolution:1280*800@60HZ
Appearance material
Aluminum alloy
Performance
Recognition height
1.2-2.2 M
Recognition distance
0.5-3 M
Body temperature detection distance
0.5M
Identification technology
Support mask recognition + infrared body temperature detection
Face angle
30 degrees left and right, 30 degrees up and down
Identification technology
Embedded visible light detection and recognition, adapt to the indoor and outdoor environment, with dynamic face recognition
Recognition time
Detection and tracking 20ms, compared with 80ms / thousand people, feature extraction 300ms
Status display
Name body temperature broadcast display, custom information broadcast display
Body temperature detection dynamic face recognition tablet is an access control product developed using the latest face mask recognition algorithm and thermal imaging body temperature detection technology. The system supports automatic switching in 1: 1 and 1: N modes. Based on the Android system environment, it has the features of face recognition speed and temperature detection in seconds, high accuracy, high security, and good stability.It now can widely be applied for public access control projects for better prevention of COVID-19 as it can detect face+body temperature(thermal body heat)+face mask indication to alert people as long as public health and safety requires as new coronavirus is recently under a tough situation.
Applicable scene
Residential quarters, office buildings, schools, government units, tourist attractions, factory sites, etc.
CPU
ARM RK3399 (28 nm) 6-core 64-bit processor, large-core Cortex-A72 (dual-core) + small-core Cortex-A53 (quad-core) clocked at 2.0GHz
RAM
RAM 2GB
Storage
ROM 16GB
operating system
Android 7.1.2
Display
8-inch LCD display with resolution:1280*800@60HZ
Appearance material
Aluminum alloy
Performance
Recognition height
1.2-2.2 M
Recognition distance
0.5-3 M
Body temperature detection distance
0.5M
Identification technology
Support mask recognition + infrared body temperature detection
Face angle
30 degrees left and right, 30 degrees up and down
Identification technology
Embedded visible light detection and recognition, adapt to indoor and outdoor environment,with dynamic face recognition
Recognition time
Detection and tracking 20ms, compared with 80ms / thousand people, feature extraction 300ms
Status display
Name body temperature broadcast display, custom information broadcast display