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Winners List of PCBWay Second PCB Design Contest

by: Dec 20,2018 2224 Views 6 Comments Posted in News

PCB pcbdesign contest winners

Dear All PCBWayers,

After six months’ collection, we received more than 220 entries, which is almost 4 times the number of last year’s entries. Thank you very much for your participation and we are truly honored to have your awesome projects in the contest.

The Best Designs

1st Prize: Hedgehog Educational Robotics Controller

Hedgehog Educational Robotics Controller.png

Award:  $1000 in cash + $100 in coupons+ 10000 PCBWay Beans+ Certificate of Awards & Honors

Judges Comments:

This is one of the only SMD boards entered that has tented vias and fiducials! It is also impressive for the number of parts fitted in a very small area. It is a very neat layout with parts aligned and IC’s oriented in similar directions. Connectors and  the switch are located on the edge of the board for easy access and the board has mounting holes.

-----Dawid Verwey, Founder of UCS Innovation

 

The board is compact, components are placed with high density but in regular way, I think it was quite difficult to route the board. Well done.

-----Alex Mihailenko, Senior Engineer of DipTrace

 

Efficient use of every place and layout is very reasonable. It has many functions as an Educational Robotics Controller and the product is really impressive by the team.

-----Anson Bao, Senior engineer of PCBWay

 

2nd Prize: OSHW 150KW VESC motor controller

OSHW 150KW VESC motor controller.png

Award:  $500 in cash + $50 in coupons+ 5000 PCBWay Beans+ Certificate of Awards & Honors

Judges Comments:

The board also looks very professional, it might be even more complex than board #1 but it has some unused areas.

-----Alex Mihailenko, Senior Engineer of DipTrace

 

Completeness,4

Documentation,3

Novelty,3

Utility,5

Design Quality,5

Community Engagement,4

AVG. SCORE,4 (Full is 5)

------Ben Jordan, Senior Engineer of CircuitMaker

 

Very professional design, but the layout can be more efficient. Some places are not used well. But as mentioned in the introduction,so many cool features.

-----Anson Bao, Senior engineer of PCBWay

 

3rd Prize: Kubik M0 Spider Robot

Kubik M0 Spider Robot.png

Award:  $200 in cash + $20 in coupons+ 2000 PCBWay Beans+ Certificate of Awards & Honors

Judges Comments:

This is a simple, really cool robot that anyone can make.This project makes use of open hardware ideas and designs from over the past few years, and distills things down to a really nice quadruped robot that is easy to make, educational, and fun.  A lot of really good time, thought, and effort went into making this a beautiful project.

-----Mitch Altman, CEO of Cornfield Electronics

 

A very interesting robot, as an entry level, I believe everyone can try it and will like it.

-----Anson Bao, Senior engineer of PCBWay

 

The Most Popular Designs

1st Prize: Pi1541 IO Adapter, Rev.4 

Pi1541 IO Adapter, Rev.4.png

Award:  $1000 in cash + $100 in coupons+ 10000 PCBWay Beans+ Certificate of Awards & Honors

 

2nd Prize: NodeMCU DHT/Sensor/LED Controller Breakout Board-v.1.1

NodeMCU DHT Sensor LED Controller Breakout Board v.1.1.png

Award:  $500 in cash + $50 in coupons+ 5000 PCBWay Beans+ Certificate of Awards & Honors

 

3rd Prize: Z80-MBC2: 4ICs homemade Z80 computer  and 4X40 Watts 4 Channel Audio Amplifier Board DIY TDA7388/CD7388 IC

Z80-MBC2 4ICs homemade Z80 computer.png

4X40 Watts 4 Channel Audio Amplifier Board DIY TDA7388 CD7388 IC.png

Award:  $200 in cash + $20 in coupons+ 2000 PCBWay Beans+ Certificate of Awards & Honors

 

AT Maker PrizeSpecial Prize for Assistive Technology

Winner: NeuroLab - Open Source Brain Wave Analyzing Tool

NeuroLab - Open Source Brain Wave Analyzing Tool.png

Award:  $1000 in cash + $100 in coupons+ 10000 PCBWay Beans+ Certificate of Awards & Honors

Judges Comments:

The NeuroLab project is the winner of the 2018 PCBWay/ATMakers Assistive Technology Award. The PCB design is targetted towards one goal: read EEG signals from the forehead area of a user and route them to a processing device (computer, tablet, etc.) which can perform actions based on the sensor data.

While there are other EEG sensors in the Open Source world, this one aims to be simple to use and low-cost while still producing results that are useful in assistive technology settings such as switch activation, device control, etc.

The project is relatively well documented (among submissions) and is supported by the FOSSAsia group on GitHub making it likely that it will proceed further towards completion. In addition, it’s goals are reachable: it simply wants to extract EEG data and make it available for processing.  This approach, in comparison to other submissions that were looking to be all-in-one solutions to a problem is refreshing.

The fact that an existing desktop app and a fledgling Android app are available moves this beyond the concept phase and helped the project considerably.

Suggestions/Improvements: This team would benefit greatly from a central repository of information about this project. The information is split among four GitHub repositories (which don’t link to each other) and there is no central point to find “the big picture”. Additionally, I could not find any documentation of the SPI protocol used to expose the data from this board (that may be my failure, but it was not readily available). 

-----Bill Binko, Founder of ATMakers

 

More details about Bill’s Judging report for the AT projects. Click here.

 

Congratulations to you winners and we will contact you soon about the award.

Regards,

PCBWay


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