Update: read part II here
TL;DR: You are faced with a few thousand hectares of rainforest that you know harbours one or more orangutans that you need to track down. Where, how, and why do you start looking?
About a year ago I was doing a lot of drone related work and was presented with the following problem: Would it be possible to use a drone to fly above the Bornean jungle and search for tagged orangutans?
To understand the motivation behind the question we need some background.
In my last post I discussed my little flying object detector project that I’ve been doing for fun. While it worked it relied on communication with an external laptop in order to work (the on board odroid was not powerful enough to run the convnet model).
Hence, what better excuse to buy an NVIDIA Jetson TK1 dev board which should have more than enough juice to run everything on board the drone itself. As added benefit it should come in useful for my litter robot. I then added websocket support to the flask web app and you can now see the detections appear in real time on a map.
It took some fiddling to get the wifi to work with the Jetson and Im still surprised at how quickly the wifi degrades (even though Im using the 5GHz band to avoid collisions with the Tx/Rx). But it did work in the end:
It wasn’t the best place to test it out but I was short on time and it should be good enough to illustrate the concept
Still lots to do and too little time, but we keep chipping away. In particular the awesome folk from ErleBotics were kind enough to send me a Brain2, looking forward to try that out as well.
PS: on a related note, love what the guys from vertical.ai are working on
About a year and a half ago I saw Jetpac’s video of their Spotter app and I remember thinking at the time that it would be so cool to get this flying on a drone. I didn’t have the bandwidth to work on it at the time but ended up poking at it with Markus Aschinger at the ASI and with two A level students (Jawad / Isaac) from the Nuffield Foundation. While they did good work and it got me a step closer, it still hadn’t quite come together. Hence I sat down the past week to do a full rewrite, integrate it with a quad I had lying around and do a little demo. The result can be seen in the video below.
A lot has changed since I last blogged about Taarifa. We have been the recipient of a World Bank Innovation Fund grant and are going through the Geeks Without Bounds Humanitarian Accelerator. Work is really kicking off in earnest now and if you follow the project you will see much happening over the next two months.
In order to improve the platform and grow the community we are running a number hackathons around the world. You are hereby cordially invited to come hack on data, software (front and back end), hardware, and all the bits between in
There’s not much in the way of access to clean water in Tanzania. In the informal settlements, there are a bunch of water points, but many of them are broken. Rather than a continual process of putting in new ones, the local water engineers want to fix the existing ones – but they don’t know where the broken points are. This also prevents large-scale response organizations from accurately deploying resources (and seeing what initiatives are already working).
Update: a writeup of the event by Lorraine is here.
A shot post to say that I am co-organizing a Raspberry Pi workshop with The IET Solent Branch at the University of Southampton on 25 April. For personal reasons I cannot make it myself that day but do go along if you want to learn about how to use the GPIO pins on your Pi board!
Btw, if you can’t make it but live in the area, do checkout somakeit.org.uk. Recently launched and we now have a space!
Its 8:44 am and after 5 hours of sleep on my trusty Thermarest I feel quite refreshed, which is more than I can say about the people around me. Some have capitulated and lay scattered around the brightly lit room under their coats in front of their MacBook Air’s. Others are still in exactly the same position I left them 5 hours ago but the intensity has gone and eyes have glazed over. At least one person confirmed the geek stereotype and didn’t manage to hold his beer.
Update: Apparently Parlycloud won a special mention during the judging, thanks!
I have blogged about coursera.org in the past and as part of signing up to a number of courses I felt the need to easily download the videos, quizzes, notes, etc. locally for later use offline.
I quickly found a project on github (and there are a few) but wasn’t quite happy with the code. I cleaned it up to a relatively sensible state and it now does what I wanted it to do. The main additional features I wanted were: easily download multiple courses, support for quizzes/homeworks, and support for links to extra material (e.g, 3rd party sites, papers, etc).
Just do a “pip install coursera-dl” and then run as follows:
coursera-dl -u myusername -p mypassword -d /my/courses/ algo-2012-001 ml-2012-002
Code is in python and can be found on Github.
Some people have asked if they could donate something. If you wish you can do that here:
Update: if you have a feature request or want to report a bug please use the github issue system