What challenge does this project address?
We wont lie, this project is primarily a great way for us to get enjoyment out of our animals when we aren’t there.
However, there are some side perks that we want to point out.
- Safety - Since SnappCat is watching when your not, it has potential to catch your critter in a bad situation
- Behavior - A lot of people get rid, or punish animals for doing the wrong thing when they are away from the house. SnappCat might point out why your little buddy is peeing on your curtains.
- Acclimation of A.I. in the house - This device uses A.I. for the image recognition algorithm. It might seem like a stretch, but there are many people against having A.I. in their house. SnappCat might help people acclimate.
How is SnappCat Used?
- William Gentry Glover - Electrical Engineer / CEO / Co-Founder
- Francisco Ceballos - Computer Engineer / CTO / Co - Founder
- Ben Petroelje - Electrical Engineer / CFO / Co - Founder
When you are evaluating an idea, it makes sense to use off-the-shelf products; if possible. This is why the early prototypes of SnappCat are built with a Raspberry Pi Zero W, and the Rasberry Pi 8 MegaPixel Camera.
However, as we:
- Prove the capabilities of our image recognition algorithms
- Continue to see an increase in our potential market
- Are aware of manufacturing limitations with the Raspberry Pi (being targeted towards education)
It is becoming obvious that the team at SnappCat will need to create our own hardware platform.
The good news is that we have the right people on our team to do just that!
Here are some samples from our image recognition systems. Faces, a random box, and Newton (the cat):