Improve the odds of finding a lost pet with this over-engineered license-plate-based system! The ultimate computer vision project for a machine learning startup.
“Lost cat” and “lost dog” signs are often placed up on telephone poles (Fig. 1), but it’s unlikely that a specific person who sees a lost pet will also have seen the sign (or even know that the pet is actually lost in the first place).
In order to add more people to the lost-pet-searching process, the proposed system is as follows:
On the searchers side:
- Car owners can add a camera to their car (see license plate example in Figure 2) that constantly scans for unidentified animals. This requires no effort on the part of the driver.
- The camera saves snapshots and GPS coordinates for every animal it sees, and uploads these to a “Find a Lost Pet” web site. Many of these animals are probably not lost, or even pets!
On the pet-recoverers side:
- Anyone with a lost pet can post the details of their lost animal and a reward to the “Find a Lost Pet” site. Ideal information would include a photo, approximate location, and the owner’s contact information.
Once the “Find a Lost Pet” image analysis system detects a match between an uploaded image and a lost pet, a “bounty” is issued for the recovery of that pet, and nearby drivers are notified.
Finally, assuming the animal is safely returned in the same number of pieces that it was expected to be in (generally this number is “one”), the bounty is split three ways: the web site, camera owner, and animal-recoverer all get a fraction of the total reward. This aligns everyone’s incentives and encourages people to install pet-scanning cameras in the hope of a payout.
PROS: This system will help find lost pets, and definitely won’t be repurposed to create a totalitarian police state.
CONS: Not especially useful in finding burrowed or aquatic animals, so try not to lose one of those.