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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

In stock Shipping in July
$599.00
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Datasheet

General
SKU RE-UP-CHT01-A20-0216-FACE01
Basic info
Part number RE-UP-CHT01-A20-0216-FACE01
Mainboard UP board
Availability Active
System level spec
SoC Intel® Atom™ x5-z8350 (up to1.92 GHz)
# of Core 4
Graphics Intel® HD 400 Graphics
FPGA Intel® FPGA Altera Max V
memory 2GB
eMMC 16GB
BIOS UEFI
RTC Yes
WAKE ON LAN (WoL) Yes
Watchdog timer Yes
PXE 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
Display
HDMI 1 (HDMI 1.4a)
I/O
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)
40-pin GP-Bus 1
MIPI-CSI 1x MIPI-CSI 2 lane
SIM slot No
Connectivity
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
LTE/4G N/A
Cooling
Cooling passive cooling (fanless)
Environment
Operation temperature 32°F ~ 140°F (0°C ~ 60°C)
Storage temperature -40°F ~ 176°F (-40°C ~ 80°C)
Longevity
Longevity 2024
Package
Net weight 0.9 kg
Package dimension (L x W x H) 31x22x12cm
Gross weight 1.32 kg
HS Code 8473308000
Country of Origin Taiwan

More Info

 Webinar: Touchless Technology & 3D face recognition

 

 

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.

Solution Diagram

 

Riddletag_how_does_it_work

 

Riddletag_what_is_its_software

List of Contents

UP 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.

Downloads

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