SeeQuestor is a London-based Artificial Intelligence company

SeeQuestor

SeeQuestor is a London-based Artificial Intelligence company providing patent-protected, comprehensive video analytics solutions to law enforcement and intelligence communities, critical infrastructure and smart cities around the world. The company harnesses world-leading AI technology and super-computing power to turn terabytes of CCTV video into actionable intelligence.

Milestones.

Build Frontend UI of Camera Calibration

Built a Custom Video Player

Generation of OSM Map Tiles & Dataset

Georeferencing of Map Tiles

Objective Of SeeQuestor.

The team at SeeQuestor aimed at developing a platform that understands and applies all types of changes and updates across the infrastructure. To achieve this, the platform demanded automation to identify compliance design gaps. Following are a few code features that were to be embedded in the platform:

Face Recognition: Tracking and locating persons of interest with ease.
Video Search: Making it effortless to search for people and objects across live cameras from months of video.
Rapid Alerts: Alerts were to be notified in seconds and the ability for the user to change the camera view in less than a second.
Threat Recognition: Have an AI-based code to detect crowds’ behaviour and any aggressive weapons visibility in the video.
Traffic Monitoring: Continual vehicle search option with alerts and notifications on violations of rules.
Customized Maps: 100% GPU-accelerated fully on-premise global map. Client-customized layers for effective situational awareness.
Mobile Integration: End-to-end encrypted cooperative suite of applications that extend operations to mobile.
Deliver Scalability: Seequestor was to be built to scale from small sites to city-size deployments.

Our Solution.

Below is the list of solutions provided to SeeQuestor by our app development experts at Systango:

POI Narrative: To meet facial recognition, and locate objects in real-time on the platform, the team created a feature to track a POI on the map based on the cameras. A path/narrative was set to keep a track of a person/object in real time. Feature of generating a report and exporting it as a PDF with all the POI details, maps, and other information was embedded.
Map Editor: The platform was provided with a feature for users to add sites, map layers, and a location search bar for surfing the globe. This feature helped in delivering georeferencing features as well. We even delivered camera calibrations and world maps on map-editor.
User-specific Features: A timeline feature was added for transitioning between live and recorded video. Also, the camera map select feature was added for easy identifying the location of cameras. Additionally, the team delivered an intuitive layout for displaying selected information on a single view/screen.