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Automatic Target Recognition

State of the art AI for S&R, border control and infrastructure protection

The problem

✦Most drones incorporate one or several cameras on board

✦Monitoring and surveillance are amongst the most common and potentially profitable applications of drones

✦Exploiting cameras onboard for these applications is inherently challenging

✦Manually analyzing and searching for relevant information in this video is extremally costly, or even unfeasible

✦Unlike computers, human analysis is prone to error due to fatigue and distraction

The solution

ATR

ATR is a solution for automatically detecting and classifying objects from RGB and IR onboard cameras and provide real time customized alarms at the edge, in the cloud or on-premises. ATR brings state of the art AI to S&R, border control and infrastructure protection

Get video

Get any type of video stream, in any format, from any sensor in any drone

Get telemetry

Use the drone and camera telemetry if available

Analyze

Automatically analyze video in real time

Detect

Detect, classify, track and geo-locate targets and events of interest

Get alarms

Report alarms with relevant information

ATR Benefits

Cost Reduction and Efficiency:
Reduce costs of inspection while improving efficiency, by quickly identifying targets

Consistency:
Maintain consisten performance under any conditions

Speed and Accuracy:
Analyse faster than humans for more accurate decision making

Scalability:
Scale from one drone to a fleet, with any number of video streams

Enhanced Security:
Incorporate rich information about threats and events of interest into your mission flow

Specs

Input Sources and Format:
IP Cameras; video files; video streams (RTP, RTSP, RTMP), video platforms (Milicast, Dolby.io, DJI).

Output Video Format:
Dolby, WebRTC,
RTMP, RTSP,
HLS

Integration:
REST API,
Sense Web Front

Alarms:
JSON over web socket,
Webhooks,
Serial for onboard deployments

Supported Camera Types:
RGB,
IR

Supported Targets:
Vehicles,
Persons,
Animals




Training Database:
+150K images
Over 2M annotations

Latency:

<1 ms

Deployment:
Edge,
Cloud,
Private Cloud,
Local



Application Scenarios

For more information, Visit our youtube channel

Sense Aeronautics on Youtube

API Documentation

For more information about cloud integration, visit our API Documentation or send us an email