There was a good amount of progress that culminated this week!The uOttawa group got Tensorflow object detection working with the IR camera attached to the RPi! We were able to see what the objects were being detected as. This was just using the standard MobileNet model, and there were results such as surfboard in there too.
Beck completed the Bowie Brain Kit! It is now completely soldered. Next step is programming the first blink! As well, we had the chance to meet someone new, Queenie, who was interested in learning more about Robot Missions.
Hooray! It’s great to see it when progress meets a milestone. Congrats to the uOttawa team!
Meeting Queenie, who’s also interested in environmental robotics
Tensorflow is running!
Now setting up the RPi
We ran into an issue with this wifi, but switched to another and it worked
Tonight the uOttawa group tested the IR camera. They connected it to the Raspberry Pi, and took pictures with it using raspistill. The test images were showing some objects with the overhead lights on and off. The IR leds that are beside the camera do a good job at illuminating the objects when the overhead lights are off. This progress showed that the IR images can be captured, and the next step is to pass them to Tensorflow for object detection. Beck added the headers to the Teensy 3.6 and inserted it in to the Bowie Brain.
The uOttawa Masters Engineering group made progress on 3D printing the pan-tilt mechanism for the IR camera. Beck gave a tutorial to the group on how to 3D print with the Tinkerines and how to slice the models. Meanwhile, another member of their group worked on installing Tensorflow on the Raspberry Pi. The servos fit perfectly into the mount, and it gets assembled with M2 screws. Beck and Brenda made progress on their Bowie Brain Kits as well. Brenda had a thought about a 3D object detection method, so we brainstormed a bit about that on the whiteboard. Next steps is to continue the work.
Beck and some of the uOttawa team
Jessica from uOttawa working on installing Tensorflow
Servos fit in 3D print!
Brenda equipped and ready to solder
Brainstorming how 3D object detection method could work