The Lost and Found Software image recognition feature automatically identifies the type of found item, color and location where the item was found. Even details such as brand, serial numbers or info on IDs can be recognized. The system learns from its mistakes and information can be enhanced or corrected by manually editing information. Multiple additional variables are taken into account as the system learns the patterns of consumers in real spaces.
When, for example, taking a picture of sunglasses that are initially recognized as reading glasses, the system learns over time that the dark lenses are a unique identifying property. Or that it is more likely to find a snowboard than a skateboard at certain locations. The implemented image recognition technology uses the most recent "deep learning" technologies for accurately characterizing images. Information is verified and additional information is added by users to create a fast and comprehensive item entry. Found items are then submitted into the database using this rich classification information. These items are then immediately searched against the database and rapidly matched with lost items as specified by customers. Lost and Found Software with Image Recognition Technology.