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Technology

Technology

Distributed sensing, edge AI and mission-management workflows, with the operator in control.

How it works

Edge AI video analytics: diagram of how Reconleap helps. From the challenge ("Distributed sensors produce more data than teams can review") through distributed sensing, edge AI and event prioritization and operator decision to the outcome ("Edge AI video analytics and mission workflows that run locally").

Edge AI video analytics and mission intelligence, from the edge to the operator.

01

Distributed sensing

Cameras and sensors working as one network.

02

Camera and sensor interoperability

Works with the cameras you already run.

03

Edge AI processing

Video analytics and mission workflows run locally.

04

Video analytics

Detections that help teams focus attention where it matters.

05

Event prioritization

Detections and events ranked into an operational picture.

06

Mission-management workflows

Evidence, recording and review in one place.

07

Data-efficient operation

Designed for constrained connectivity: detections, not video streams.

08

Human-in-the-loop decisions

AI recommends. The operator decides.

Technical architecture

Edge AI video analytics and mission intelligence, from the edge to the operator.

01

Cameras and sensors

02

Edge processing

03

Detection and analytics

04

Mission prioritization

05 · Human decision

Operator interface

06

Controlled workflows

AI recommends. The operator decides.

Keep exploring

See the technology in real missions.

Follow the technology into the places it is used and the products that carry it.

Build a clearer operational picture.

See how Reconleap can connect sensing, edge intelligence, and human decision-making for your operational environment.