The client is US based leading semiconductor and software company having expertise into CPUs, GPUs, SoCs, NIC, Embedded processors, Cloud and Edge Computing Platforms. With their technological advancement and product innovation they cater services across domains like smart electronics, data centers, gaming and more. The client approached Softnautics for developing deployable deep learning based food classification application for their newly designed GPU based cloud platform focused towards food aggregators & restaurants. They wanted to showcase the application to their end-customers gaining the confidence and on-boarding them. The solution is targeted to help hotels, restaurants, caffes, and other food aggregators with food classification application like optical food sorting, remote & condition monitoring. It also helps this industry build intelligent solutions for their customers to identify the food items from the image itself instead of their names.
- Achieved the deep learning model accuracy as high as 96.5%
- Faster deployment and scalability of containerized application
