Deep Learning based Image Processing

The future of the world depends upon the latest technologies and innovative ideas. The innovative concepts help to upgrade our knowledge. Technology is changing how people purchase grocery products, clothes, and other products. With retailers hopping on the cashier-less bandwagon in an effort to attract time-crunched shoppers, emerging technologies are helping them make this possible. The retail sector is changing dynamically with all the videos captured in unconstrained real-world scenarios is an interesting problem with many potential applications. This report presents an efficient approach to digital image processing techniques, face detection algorithms, and object detection algorithms. In this report, we talk about the future of Retail Shops wherein people can just take the item they want and leave the store without waiting in the checkout line. The AI that controls the environment follows each customer, noting each item is taken and any that may be put back, so no errors are made and there are no charges for products not brought home.

Autorentext

Amol N. Dumbare se licenció en Ingeniería Informática en la Facultad de Ingeniería de Pimpri Chinchwad, Akurdi, en 2012 y también completó un máster en Ingeniería Informática en la Universidad Técnica Jawaharlal Nehru, Hyderabad, en 2015. Tiene 9 años de experiencia en la enseñanza. Actualmente trabaja como profesor asistente en PCCOER