Model |
PCMask |
Object recognition supported |
Mask, no mask, improper mask wearing, social distance detection |
Camera supported |
LILIN cameras (recommended) and ONVIF cameras |
Supported AI engines |
Human management |
Aida computing power capacity |
Aida power 1 / ch |
Rrecognition speed (per server) |
6 recogs / sec / ch |
Maximum objects recognized in a frame |
24 objects / frame |
Zone configuration |
4 zones |
Color recognition |
Supported |
AI recognition resolution requirement |
Object 120x120 pixels |
Object size filter |
Yes |
SDK |
Yes |
Video resolution |
1920 * 1080 or lower |
Interface Language |
English / Traditional Chinese / Japanese / Italian |
User management with access rights |
Three levels |
Application |
Healthcare |
Recording (optional) |
Navigator Corporate |
Behavior counter |
64 |
Behaviors Detection |
Mask improper mask wearing no mask Social distancing |
NAV statistics report (optional) |
Vehicle flow, vehicle types, people counting, behavior counting, and color counting |
NAV statistics report type (optional) |
Web based pie chart, bar chart, and line chart JPEG snapshot supported |
NAV statistics report time range (optional) |
7 day, 30 days and 60 days |
NAV statistics summary (optional) |
Camera, object classification, or behavior summary report |
NAV counter (optional) |
Support tripwire mode and object tracking |
HTTP Post notification |
LILIN smart IO box, LILIN LED display, third-party network device, or cloud |
HTTP/HTTPs push notfication with JPEG snapshot |
16 |
Support Line notfication |
Via IFTTT |
Digital output |
Controllable via IP cameras or LILIN Network I/O Box |
Car park counting for multiple cameras |
LILIN LED display |
Building capacity counting display |
LILIN LED display |
Suggested CPU |
Intel® i3 or above |
GPU/VPU supported |
Intel® HD Graphics 630 or above PMH-XM2280 Intel® Movidius™ NCS2 NVidia 1050 4G or above |
System memory |
RAM 8G (recommended) |
OS requirement |
Windows 10 with DirectX 12 installed |