HuskyLens is an easy-to-use AI machine vision sensor. It is equipped with multiple functions, such as face recognition, object tracking, object recognition, line tracking, color recognition, and tag(QR code) recognition.

I dont have time to do interesting projects so I'll post it here :)

Has anyone tried/succeeded in object tracking camera system? I just got my gimbal-setup working and was thinking that it'd be nice to have a real-time object tracking implemented in it. Husky is so small that it could be sitted next to a camera in gimball and then husky would send the movement orders to a gimball controller (Storm32). This could be used in a standing or mounted gimball so you could do a drone-cam that follows an object. In extended, this could be made so that Husky would also control (directly or indirectly) the drone so that it would control the distance to selected object by sensing its size..

I am also looking for a solution to track a ball in outdoor conditions.

I have used the Huskylens firmware HUSKYLENSWithModelV0.4.7Stable because it offers all menus as described in the wikipage. With the version V0.4.9, I get access to only object detection mode and I can't retrieve position data from the learned object.

The best functioning parameters are those set up by default. However, the camera is only 320x240 if I am not mistaken. It limits the possible detection range in depth (from close to far away) in 1-2 meters approximately.

Is there any possibility to teach the huskylens for a ball classifier to improve its detectability and reduces the effect of lighting dependency?