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Germany PHYTEC Messtechnik GmbHD-55129 Mainzt +49 6131 9221-32f +49 6131 9221-33www.phytec.dewww.phytec.eu
USA PHYTEC America LLCBainbridge Island, WA 98110t +1 206 780 9047f +1 206 780 9135www.phytec.com
France PHYTEC France SARLF-72140 Sillé le Guillaumet +33 2 43 29 22 33f +33 2 43 29 22 34www.phytec.fr
India PHYTEC Embedded Pvt. Ltd.Bangalore560102t +91 80 40867046www.phytec.in
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China PHYTEC Information Technology Co. Ltd.Nanshan District, Shenzhen518026 PRCt +86 755 6180 2110www.phytec.cn
phyCORE®-i.MX 8MAzure Edge / AI KitGet your Edge Computing / AI Kit powered up and connected in just a few simple steps.
PREPARING THE HARDWARE
1. Connect the following components and cables (found in your kit):• Connect camera assembly via ribbon cable to CSI-1 (X10) (Figure A)• Screw camera lens into camera assembly (Figure B)• Connect the Ethernet cable to your preferred Ethernet source and X1• Insert the SD card into the SD card slot. Ensure the boot jumper is set to SD Card (Figure C).
2. Connect a USB cable to your host PC and the Debug FTDI (X30)3. Connect display adapter and display to board
(see enclosed documentation LAN-085e.A0 Connecting the Touchscreen to i.MX 8M)4. Connect the +24 V power adapter (SV042) to power up the kit and begin the booting process.
Please note that all cable and devices need to be connected for the demo to function properly.
Kit ContentsphyBOARD-Polaris with phyCORE-i.MX 8M USB-A to USB-B Micro Cable Power Adapter 24 VPB-02820-001.A1 (WK345) (SV055)
Camera Ribbon Cable (WK114)
Color Camera with Sensor Board Ethernet Cable 10“ LVDS Display Kit(VM-016-COL-M-M12.A1) (WK114) (KPEB-AV-10-100.A0)
Figure C: SD Boot Mode
QuickStart
GuideQuick
StartGuide
phyBOARD ®-Polar is with phyCORE®-i.MX 8M
FRONT BACK
Figure A : Connecting the Camera Assembly Figure B : Camera Assembly
1 2 3
Camera Assembly(Backside)
Big D ata Machine Learning
D eep Learning D ata Mining
Ar tif ic ial Intel l igenc e
D ata Har vesting / AI K it
D ata Scienc e
Ai Comp etenc e Center
A B
www.phytec.de/edge-computing
phyCORE®-i.MX 8MAzure Edge / AI Kit
1 | STARTING THE DEMO
To adjust the picture, turn the camera lens left or right until you have a clear, sharp image (Figure B).
After the board is powered on, your display will show the screen to the right. There are two areas of interest for you:
A The current view of the camera.
B Text about the last image that was captured and currently being analyzed. This displays the result of the AI analysis and how confident the analysis is.
2 | TRY THE DEMO
The PHYTEC Azure Edge / AI kit enables you to work with the latest AI functionalities in the Microsoft Azure environment. The kit comes with a camera module and a pre-installed connection to the Microsoft Azure cloud.
The pretrained model recognizes two different hand gestures as shown in Images 1and 2. To test this, you have to connect the camera to the board via the CSI connection and an LVDS display. Then connect the power adapter to the kit which starts the board. After the board has booted, the application will start automatically. This process can take several minutes. To train the algorithm to recognize more hand gestures or other objects, consult the online guide:
https://www.phytec.de/produkt/system-on-modules/phycore-imx-8m-download/
Now you can hold your hand to the camera as indicated in Images 1 and 2 to thecamera. The classification will work best if you use the back of your hand, as the model was only trained on such examples. You can train your own model following the guide in the link above.
Simply hold your hand to the camera to capture an image. The image need to fill thescreen and be in focused to get the best recognition results. After the image has beencaptured, the application will analyze the image and return a result which will bedisplayed in the (B) section of the display.
3 | WHAT’S NEXT!
Now that you have tried out the example application, let us show you how to work with the Microsoft Azure infrastructure in more detail. Have a look at this detailed guide for your next steps: L-1005e.A0 i.MX 8M Edge Computing Guide
Image 1: Closed Hand
Image 2: Open Hand
Y O U R A I E N A B L E R