Homeland Security

We maintain a data-driven mindset all throughout the engagement, whether it is during strategy support phase or model development phase, and focus on utilization of big data and machine learning by empowered business users. We have capability to help evolve solutions that start as process automation to cognitive insight and finally cognitive engagement when systems work autonomously.

1. Facial Recognition

When facial recognition is deployed at the edge, this means that the technology is embedded in local devices - whether it be a smart lock, a mobile phone, point-of-sale (POS) system, interactive kiosk, digital signage or more. Edge devices run facial recognition quickly with extreme precision, with no delays from cloud processing or large file transmission. In fact, there is no inherent need for a network or cloud connection except to access the face database if it is not stored on the edge device. The low cost, flexibility and scalability of edge-based facial recognition, makes it the best option for most end-users.

2. Drone based Surveillance

Developed a hybrid surveillance system which employs automated drones with custom mission planning framework to carry out aerial surveillance, categorize the movement and track the various processes of logistics involved in a mine field. Drones integrated with camera payloads are equipped with on board computing, live streaming and with adaptive decision making capability. The mission planning framework shares the mission plan to the swarm of drones based on real time data and predicates