The client proposed advanced software that could take photos of missing people and help family members identify them. The software could even take photos clicked from an angle as input, take the age factor into consideration, and use data to improve the algorithm. The deep learning solution succeeded in finding many missing children and identifying the culprits responsible for these crimes.
Our client wanted to design software to fight human trafficking by helping people locate missing family members and friends. The model was supposed to match the photo of the person to help in identification. The main challenge was the quality of the original photo, the angle at which the photo was taken, and the time elapsed between the photo in the system and the latest photo. We used deep learning to predict the face poses and match the photos. Also, as we added new data, the system learned itself and started providing more accurate results. Many missing people were identified, and suspicious people were verified by the system.
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