Hi @robmarkcole, it’s really a variation of the approach you helped me with. I used the OpenCV component to detect if my blinds were up or down. For the ‘balloons’, I get hot air balloons rising on my skyline in Melbourne and I just want to know when they are out there so I can just have a look (they are quite nice). I thought I would train OpenCV with images from the actual context/background rather than off the web. Ideally I could automate iterations of model training based on feedback about false positives/negatives (maybe you have done this in another image processing platform? That is probably a discussion for other threads I guess. I’m also working on timelapse automation, so I might detect their presence, create a timelapse, and then play it back to me on one of my screens when I rise (they are typically at sunrise). You could probably mash together something similar for bird watching;)