Face Recognition SDK
Powerful State of the Art Face recognition and Analysis through a simplified REST API powered by Deep Learning
Robust Face Detection
Our face detectors are built using state of the art Convolutional Neural Networks that offer high accuracy and next to nil false positives. Tried and tested in crowded, indoor and outdoor environments.
Extract 68 point facial landmark points such as tips of eyes, nose and lips. These can be used to perform accurate pose estimation and face alignment.
Extract demographic details using neural networks trained to classify Gender and Age from faces. Analyze and infer key insights from these metrics about your business and cater to your audience accordingly.
Our neural network trained on a million faces outputs face embeddings for each face that can be used to identify and recognize individuals. Extraction of 128 dimensional embeddings takes a few milliseconds per face and can be performed in realtime.
State of the Art
Deep Learning is state of the art in AI research and has produced excellent results in the field of Computer Vision. DeepSight leverages this technology to give you powerful image processing capabilities through a simplified interface.
DeepSight runs completely offline as a http service on localhost:5000. All inference using CNNs is performed on the machine itself. This allows you to build solutions that can be deployed on remote machines running independently 24×7.
With its simplified RESTful API, building powerful solutions is fast, easy and intuitive
DeepSight was made modular. Each CNN is a separate entity that is plugged into the main application. This allows us to provide updated modules with improved accuracy over time without disturbing your existing solution. It also enables DeepSight to be extended to fit your evolving business requirements.
DeepSight can use a CUDA enabled GPU to significantly boost performance by up to 10x !
One Click Installation
We provide DeepSight in an extremely easy to install Setup.exe/Install.sh package. No technical expertise is required to install and maintain it.