ImageSleuth employs a new technology – HYDRA – which merges the latest advancements in computer vision and machine learning. The complexity of HYDRA is completely hidden behind the API, making ImageSleuth extremely easy to use. HYDRA recovers demographic features like age, race and gender. Our technology recovers other details that can be useful to search on, like hair and eye color, the existence of facial hair, eyewear, a hat. We also provide insight into the subject’s mood (is she smiling?), as well as the pose of the head and whether the subject is looking at the camera, and more. Hair and eye color are helpful in retail to establish color schemes for clothing and other merchandise. The focus of the subjects’ eyes is useful in out of home networks, like in gyms and airports, where we want to capture information only from those who are looking at the ads (assuming the camera is close to the screen showing the ad). Security applications could tap into vague details like those collected from witness accounts, e.g. whether the subject had a beard and/or was wearing a hat.