Riddletag Face Recognition 3D Kit
The Riddletag Face Recognition 3D Kit is aiming to speed up a face recognition project by providing all hardware and software in one.
All the parts are integrated with Riddletag Face Analysis software and Facecard Cloud (with an option to integrate with your own cloud). The solution can be rapidly embedded into existing hardware infrastructure within different vertical markets.
The kits including UP board, RealSense camera, and Riddletag 3D Face Analysis Application running on the edge and a trial plan of Riddletag Facecard Cloud Face Recognition Service* in the Cloud.
Get Started: Install application
*Riddletag Facecard Cloud Face Recognition Service provides: 500 API Requests**, 100 number of users in Database
**API Request is used to get a resource from cloud service(e.g. request to add users in database, request to do face matching…etc)
See datasheet for more specifications datasheet
|SoC||Intel® Atom™ x5-z8350 (up to1.92 GHz)|
|# of Core||4|
|Graphics||Intel® HD 400 Graphics|
|FPGA||Intel® FPGA Altera Max V|
|WAKE ON LAN (WoL)||Yes|
|Compatible OS||Ubuntu server 18.04.4|
|Power requirement||5V DC-in @ 4A 5.5/2.1mm jack|
|Power Supply Type||AT (default) /ATX|
|Power Consumption ( typical)||13 Watt|
|Dimension||3.37”x 2.22”( 85.6mm x 56.5mm)|
|MTBF ( hours)||270,599 Hours|
|HDMI||1 (HDMI 1.4a)|
|Audio||I2S audio port|
|USB 2.0 type A||4|
|USB 2.0 pin header||2|
|USB 3.0 OTG Micro B||1|
|UART||2 x UART (Tx/Rx) debug port (pin header)|
|MIPI-CSI||1x MIPI-CSI 2 lane|
|Ethernet||1 x GbLAN ( RealTek RTL8111G-CG)|
|WiFi||optional WiFi 802.11 b/g/n @ 2.4 GHz (Fangtec-GWF-7M02)|
|Bluetooth||Optional Bluetooth V4.0|
|Cooling||passive cooling (fanless)|
|Operation temperature||32°F ~ 140°F (0°C ~ 60°C)|
|Storage temperature||-40°F ~ 176°F (-40°C ~ 80°C)|
|Net weight||0.9 kg|
|Package dimension (L x W x H)||31x22x12cm|
|Gross weight||1.32 kg|
|Country of Origin||Taiwan|
Smart cities, powered by Intel®, UP, Amazon Web Services, and Riddletag. The Riddletag 3D Facial Recognition Kit gives you the ability to create a cloud-based facial recognition project easily.
The solution can be rapidly embedded into existing hardware infrastructure within different verticals:
1. Transport: Quick facial payment/access at the metro turnstile, or entrance control of airport...etc;
2. Finance: cardless financial operations, verification, authentication, anti-fraud;
3. Retail: self-service checkout, loyalty program
4. Security: access control within gym, hospital, school, company...etc
This kit consists of Intel® RealSense™ depth camera D415 and UP board microcomputer with Riddletag software stack.
Within 450 milliseconds, it detects and processes a face through its algorithm and parse’s it into a unique consumer id for a customer's personal image. It then executes matching within the cloud for facial recognition.
List of ContentsUP Board with Intel® Atom™ x5-z8350, onboard 2GB DDR3, 16GB eMMC
Intel® RealSense™ depth camera D415
DC power adapter for UP/UPC board (5V@4A)
USB3.0 OTG cable(for RealSense D415 Connection)
Riddletag 3D Face Analysis Application on UP Board : Face Detection, Face Analysis and Prepare(Encrypt) the image at the edge
Riddletag Facecard Cloud Face Recognition Service (Trial Plan) : Matching the Face in the cloud.