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Edge AI Box
SenseNebula AIE
Edge device that can easily add AI functionality to multiple IP cameras. Compact size for indoor and outdoor use.
Feature
1. High Speed and High Accuracy
Face recognition is possible at a high processing speed of 16 persons/second. In addition, by automatically selecting the most suitable high-quality images for authentication from among the images acquired by IP cameras, higher accuracy is achieved.
2. Rich API
APIs for all functions are provided for easy integration with external systems.
3. WebUI for No-ode Management
Provides a no-code management WebUI that can be easily used by non-developers. You can easily change and check settings.
Main Functions
- Camera image monitoring
- Face and attribute detection
- Face registration and face recognition
- Body detection and clothing detection
- Body and clothing detection
- External transmission of detection results
Product Specification
Dimensions
169mm x 103.5mm x 33.8mm
Weight
850g
Power Consumption
15w
MTBF
>100,000 hrs
Power Supply
12V/3A DC or PoE
CPU
ARM
GPU
Edge Computing GPU
Memory
8GB DDR4
Storage
64GB eMMC
Networking
Gbit Ethernet x 2 (including PoE x 1)
OS
Linux
Captured Image Size
> 30 x 30 pixels
Minimum Face Size for Authentication
> 30 x 30 pixels
Face Recognition Processing Power
16 ppl per second
Maximum Number of Video Streams Processed
8-channel Video Stream
Encryption Method
Software and Hardware Encryption
# of Registered Faces
Maximum 300,000 ppl
Operating Temperature
Maximum 50
Operating Humidity
Maximum 50
Photo Format for Face Registration
JPG, JPEG, PNG, BMP, TIF
External Dimensions
Image of Device Linkage
Web UI
No-code management Web UI that provides the following functions.
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Camera Image Preview
*Simultaneous preview of up to 4 camera images -
Capture record list display
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List of Registered Users and Groups
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List of Registered Cameras
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Storage Management
-
System Settings
Web UI
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