If you’ve ever watched MotoGP (motorcycle) racing, you might have wondered how the camera appears to stay level even while the bike turns left and right, nearly becoming horizontal. Saftari was curious about this himself and, rather than simply answering the question, he built a gyroscopic camera rig that allows the camera […]
The post Motorcycle Gyromount Always Delivers Perfect Video appeared first on Make:.
Are incorrect passwords driving you insane? Do you tire of constantly having to type in your 20 character password? In this project we use an Adafruit NFC shield to detect an NFC tag and an Arduino Leonardo to unencrypt the NFC tag and type in your password. This project requires […]
The post Make a Custom NFC Unlocker for Your Computer appeared first on Make:.
Are incorrect passwords driving you insane? Do you tire of constantly having to type in your 20 character password? In this project we use an Adafruit NFC shield to detect an NFC tag and an Arduino Leonardo to unencrypt the NFC tag and type in your password. This project requires […]
The post Make a Custom NFC Unlocker for Your Computer appeared first on Make:.
Ready to level-up your robot skills? ArduRoller is a self-balancing, inverted pendulum robot that’s also capable of autonomous navigation indoors or out. I created it as an entry for the annual SparkFun Autonomous Vehicle Competition: The goal was to create a nontraditional vehicle capable of quickly navigating an obstacle course […]
The post How to Build a Self-Balancing Autonomous Arduino Bot appeared first on Make:.
Ready to level-up your robot skills? ArduRoller is a self-balancing, inverted pendulum robot that’s also capable of autonomous navigation indoors or out. I created it as an entry for the annual SparkFun Autonomous Vehicle Competition: The goal was to create a nontraditional vehicle capable of quickly navigating an obstacle course […]
The post How to Build a Self-Balancing Autonomous Arduino Bot appeared first on Make:.
Riding a bike can be fun, great exercise, and, if you live in a city conducive to it, a great mode of transportation. According to author Scott Bennett who lives in Vancouver BC, Canada, a city with a high bike theft rate, he “wanted to have some peace of mind […]
The post Secure and Track Your Bike with this Arduino-Based GPS Lock appeared first on Make:.
Riding a bike can be fun, great exercise, and, if you live in a city conducive to it, a great mode of transportation. According to author Scott Bennett who lives in Vancouver BC, Canada, a city with a high bike theft rate, he “wanted to have some peace of mind […]
The post Secure and Track Your Bike with this Arduino-Based GPS Lock appeared first on Make:.
Yes, we made it! You have some more days to complete your application for Maker Faire Rome – The European edition, and be with us next October. So far, we received many interesting, challenging, surprising projects and we don’t want to miss yours: defeat the procrastinator hiding in you and submit you project now!
Projects will be selected by a jury and will participate free of charge. If your project is accepted:
[Vlad] wrote in to tell us about his latest project—an RC boat that autonomously navigates between waypoints. Building an autonomous vehicle seems like a really complicated project, but [Vlad]’s build shows how you can make a simple waypoint-following vehicle without a background in autonomy and control systems. His design is inspired by the Scout autonomous vehicle that we’ve covered before.
[Vlad] started prototyping with an Arduino, a GPS module, and a digital compass. He wrote a quick sketch that uses the compass and GPS readings to control a servo that steers towards a waypoint. [Vlad] took his prototype outside and walked around to make sure that steering and navigation were working correctly before putting it in a boat. After a bit of tweaking, his controller steered correctly and advanced to the next waypoint after the GPS position was within 5 meters of its goal.
Next [Vlad] took to the water. His first attempt was a home-built airboat, which looked awesome but unfortunately didn’t work very well. Finally he ended up buying a $20 boat off of eBay and made a MOSFET-based motor controller to drive its dual thrusters. This design worked much better and after a bit of PID tuning, the boat was autonomously navigating between waypoints in the water. In the future [Vlad] plans to use the skills he learned on this project to make an autopilot for the 38-foot catamaran his dad is building (an awesome project by itself!). Watch the video after the break for more details and to see the boat in action.
[Myrijam Stoetzer] and her friend [Paul Foltin], 14 and 15 years old kids from Duisburg, Germany are working on a eye movement controller wheel chair. They were inspired by the Eyewriter Project which we’ve been following for a long time. Eyewriter was built for Tony Quan a.k.a Tempt1 by his friends. In 2003, Tempt1 was diagnosed with the degenerative nerve disorder ALS and is now fully paralyzed except for his eyes, but has been able to use the EyeWriter to continue his art.
This is their first big leap moving up from Lego Mindstorms. The eye tracker part consists of a safety glass frame, a regular webcam, and IR SMD LEDs. They removed the IR blocking filter from the webcam to make it work in all lighting conditions. The image processing is handled by an Odroid U3 – a compact, low cost ARM Quad Core SBC capable of running Ubuntu, Android, and other Linux OS systems. They initially tried the Raspberry Pi which managed to do just about 3fps, compared to 13~15fps from the Odroid. The code is written in Python and uses OpenCV libraries. They are learning Python on the go. An Arduino is used to control the motor via an H-bridge controller, and also to calibrate the eye tracker. Potentiometers connected to the Arduino’s analog ports allow adjusting the tracker to individual requirements.
The web cam video stream is filtered to obtain the pupil position, and this is compared to four presets for forward, reverse, left and right. The presets can be adjusted using the potentiometers. An enable switch, manually activated at present is used to ensure the wheel chair moves only when commanded. Their plan is to later replace this switch with tongue activation or maybe cheek muscle twitch detection.
First tests were on a small mockup robotic platform. After winning a local competition, they bought a second-hand wheel chair and started all over again. This time, they tried the Raspberry Pi 2 model B, and it was able to work at about 8~9fps. Not as well as the Odroid, but at half the cost, it seemed like a workable solution since their aim is to make it as cheap as possible. They would appreciate receiving any help to improve the performance – maybe improving their code or utilising all the four cores more efficiently. For the bigger wheelchair, they used recycled car windshield wiper motors and some relays to switch them. They also used a 3D printer to print an enclosure for the camera and wheels to help turn the wheelchair. Further details are also available on [Myrijam]’s blog. They documented their build (German, pdf) and have their sights set on the German National Science Fair. The team is working on English translation of the documentation and will release all design files and source code under a CC by NC license soon.
