Soul Hackers Labs

I took the new LiDAR for a night ride, here is what it sees! Definitely, this kind of sensor is much more suitable at night than traditional cameras.

LiDAR Night Ride! I took the new LiDAR for a night ride, here is what it sees! Definitely, this kind of sensor is much more suitable at night than traditional cameras.

After a few days of playing with some Makeblock (blue) metal pieces, I finally created a temporary mount for my RTK Heading (Dual GNSS) + 32-beans LiDAR system. It should be enough to test the sensors while a more stable one is built. I also conducted a quick indoor test of the LiDAR, it has been raining for two weeks so no chance to go outdoors yet.

RTK Heading + LiDAR (Temporary) Mount Ready After a few days of playing with some Makeblock (blue) metal pieces, I finally created a temporary mount for my RTK Heading (Dual GNSS) + 32-beans LiDAR system. It should be enough to test the sens…

An old Soul Hackers Labs' trick now powered by Oak-D. People tracking and face detection happens on edge device. The detected face is fed to SHL's face analyzer (on host) to determine the age, gender, emotions, attention level, viewing time of the tracked person. Metadata is produced and stored to generate useful reports for advertisers. Tracking and detecting faces was the most resource consuming part and now the host computer has been freed from this burden, thanks Oak-D! , the Self-Driving Ads Robot coming soon!

Our Face Analysis Now Powered by Oak-D An old Soul Hackers Labs’ trick now powered by Oak-D. People tracking and face detection happens on edge device. The detected face is fed to SHL’s face analyzer (on host) to determine t…

One of the steps of teaching the Self-Driving Ads Robot (SEDRAD) how to navigate the environment is to teach it which surfaces are good for it to drive on. We began the tedious task of collecting images of the surrounding, and creating a segmentation of the images to later "teach" SEDRAD to recognize the surface to follow and stay on. This process comprises image acquisition, image annotation (segmenting in our case), and then segmentation validation....

Annotation Process Under Way One of the steps of teaching the Self-Driving Ads Robot (SEDRAD) how to navigate the environment is to teach it which surfaces are good for it to drive on. We began the tedious task of collecting i…

When we applied to the Spatial AI Competition , the very first issue we told the organizers we were going to solve using an Oak-D stereo camera was the inability of our robot to avoid obstacles located lower than the range of its 2D lidar. Back then we had no idea how we were going to do this, but we knew a stereo camera could help....

ROS+Oak-D: Turning a depth image into a 2-D laser scan for obstacle avoidance. When we applied to the Spatial AI Competition , the very first issue we told the organizers we were going to solve using an Oak-D stereo camera was the inability of our robot to avo…