“Minna no Raspberry Contest 2020” was declared with several Raspberry Pis Grand Prix signs

On December 3, 2020, the award-winning works of the Minna no Raspberry Contest 2020, which celebrates enjoyable works and concepts using Raspberry Pi, were announced. As many as 107 submissions were obtained, and the highest reward was chosen as the Grand Prix of the digital signage scheme incorporating several Raspberry Pis.

Kazuhiro Abe, a specially named professor at the graduate school of Aoyama Gakuin University who chairs the judging committee, summed up, “There were many works that took a long time to create during the corona disaster.” Among them the “small multi-display system was chosen as the gra gra “small multi-display system” which created a realistic and usable digital signage system by bringing various technology into it.

The Grand Prix experiment was carried out over a period of three years as a graduation work by successive students of the Department of Electronic Information Technology, Shiga Vocational Skill Growth Junior College. We have developed an easy-to-carry digital signage system by combining multiple Raspberry Pis.

A magnified version of a recording of nine Raspberry Pis (3B +) lined up on a flat surface is seen in figure 1. Every Raspberry Pi is attached to the official 7-inch touch monitor of the Raspberry Pi, which is housed in a special enclosure. It can also be three-dimensionally configured

It is possible to automatically identify how to organize each Raspberry Pi. On the right and bottom of the housing, infrared LEDs are mounted, and on the left and top, infrared light reception modules are installed, and it is a system that can sense the relationship between the links. A specially built board was connected to the infrared LED and the light reception module so that the board could be placed directly into the Raspberry Pi’s pin header.

I also implemented a host machine with Raspberry Pi to customize the link relationship and play back movies and still photos, and made my own GUI interface. The speaker is also known by the Raspberry Pi and can produce music.

It has been widely praised for being a position that condenses processing processes such as housing manufacturing, board circuit design, and software creation.

The “Technical Award” which assesses the high standard of technology includes the “Automatic recognition system for national road signs” by Yoichiro Nakaki and the “Online vehicle status for automobile eco-run endurance competition” by Racing Team K4-SRS. Toshikazu Hyodo’s “Monitoring & Driver Communication System” and “Robot that reads music and plays with your favorite instrument” were chosen. I want all of them to be made! It’s a job that realizes what you’re saying.


Nakazono has a hobby of visiting national roads in different locations as a’ national road enthusiast’ and taking pictures of signs showing national road numbers, but he created a computer with a Raspberry Pi to automate this. National road signs are automatically recognized by the AI on the Raspberry Pi 4 (as an example), attached to the high-definition official camera module. I sent a command to the camcorder (GoPro) via Wi-Fi to start recording when I noticed it and I ended the recording when I passed by.

This allowed the machine to do the basic task of pressing the record button every time a national highway sign was discovered. To identify the symbol, “OpenCV” was used. As 70 road signs taken in the past were inserted in separately prepared landscape photos and 7,000 photos were produced and educated, adequate precision was obtained. In addition, it was possible to remember the sign 50 to 80 m earlier by adding a telephoto lens to the scope, and it became possible to start filming with a margin with the video camera.

In the car eco-run endurance competition, the task of the racing team K4-SRS is to establish contact between the driver and the pit through Wi-Fi. When the fuel is limited, “pit in and “slow down” should be ordered to be issued so that the pit side can now comprehend the remaining fuel. The “sign board” can accurately express directions that are frequently ignored, and can only be given once per lap. By using Raspberry Pi, at low cost, even amateur teams could know it. You will watch the entire YouTube video .

After welcoming Kouki, Mr. Hyodo realised his youthful dream of “playing music while looking at the score” through electronic work. It reads a handwritten or drawn paper “scale chart” in Excel and plays it on the LSI “YMF825” FM sound source. As seen by the black and white squares, the scale chart is a specific concept that shows whether or not a certain scale (such as do) sounds are made. I have built it so that even kids can compose and appreciate music effortlessly. You may adjust the tempo of the music by adjusting the paper feed velocity.

“Idea Award”Idea Award”Playlist of clothes”Playlist of clothes,”Panel breaking trampoline-I want to jump! What’s the next image?”Panel breaking trampoline-I want to jump! What’s the next picture?,”indirect spoon bending by psychokinesis”Indirect spoon bending by psychokinesis.

The “playlist of clothes” of Mr. Kosugi started to grow as he was at a loss as to “what to wear” as he switched from working at home to returning to work after the new Corona was removed from the state of emergency. By capturing and testing the clothes worn every day the goal is to restore the conventional feeling.

In order to take stress-free bust-up pictures, I mounted a camera and a Raspberry Pi on the wash basin after changing clothes every morning, which I always visit to brush my teeth. When you open the door, take a snap shot if the motion sensor senses an individual. I categorized OpenCV’s clothes I took (8 forms I have and made it easy to list the clothes as they arrived. The temperature is also reported by the temperature / humidity sensor at the moment of firing.

The second job of the Concept Award by Mr. Fujii was developed to help kids love the trampoline that they seem to get bored of even though they bought it. The image on the screen that the child likes is increasingly visible as the child leaps. To track leaping, an accelerometer under the trampoline is mounted.

A computer has been developed by Yamagata Prefectural College of Industrial Technology, Department of Mechatronics, Department M, to track brain waves (‘psychokinesis’) and bend a spoon. To calculate the degree of focus and adjust the angle at which the spoon is bent accordingly, use the Sega Toys brain wave toy ‘Mindflex’. For bending the spoon, a servo motor with a high torque of 41.7 kgf ⁇ cm was used. I aimed not for practicality, but for the intuitive enjoyment of “psychokinesis = spoon bending”

“College Award”, a pilot guidance stuffed animal gadget that avoids touch incidents between ships, is the “Sha-chi” offered to students, and the “Student Award” is “Study time” from MLTB (team, university student). “Study Pi”, an app that can calculate and share seminars instantly, was chosen.

The “Sha-chi” by Toba Shosen SK Lab is for the pleasure of protected boat fishing and will be mounted on vehicles. It will sound an alarm according to the degree of danger as another ship approaches. To recognize an approaching ship from a camera file, Sha-chi utilizes a learning model using deep learning (Darknet of Yolo v3). Using “template matching,” which looks at the discrepancy between two consecutive photos, determines the direction in which the ship sails, and calculates the probability of collision. The repetitive work of sorting and tagging more than 18,000 teaching photographs was said to be challenging.

The Research Pi of MLTB is a method that helps students to share their time spent learning. A motion sensor senses hand gestures, tests if they are learning, tracks them in the “FireBase” Google cloud database, and enables them to be aggregated. We sought to boost the inspiration of each other in the middle of the corona, while the seminar friends simply met and did not report. For growth, we have also used GitHub so that we can communicate remotely.

In addition, the Raspberry Pi Foundation Prize, chosen by the British Raspberry Pi Foundation and the Japanese Raspberry Pi Users Community, the RS Components Award, the RETISSA Award, the Yokogawa Electric / AI Award, the Akizuki Electronic Exchange Award, and the KSY Award include a total of 39 prizes. The job was lauded.

References:

Student in Japan university, Akizuki Electronic Exchange, KSY Award