Overwatch Imaging

About Overwatch Imaging

Overwatch Imaging develops AI-driven imaging systems for piloted aircraft and drones that automate real-time object detection and data analysis, addressing the inefficiencies of human-operated imaging in vast environments. Their technology enables immediate delivery of actionable intelligence and high-resolution multispectral mapping, significantly enhancing operational effectiveness in time-critical missions.

```xml <problem> Human-operated airborne imaging systems require highly trained observers to locate small objects in vast environments, which is inefficient, labor-intensive, and time-consuming. Existing mapping cameras lack real-time operating environments, forcing users to wait until flights conclude to work with the data. </problem> <solution> Overwatch Imaging provides software-driven airborne imaging solutions that automate sensor operation and data processing for wide-area search, ISR, and mapping missions. The company's systems leverage computer vision, GPU processing, AI, and sensor fusion to automate critical tasks, enabling real-time analysis and delivery of actionable intelligence. Overwatch Imaging's solutions analyze full-resolution imagery in real-time, enabling immediate checks of coverage and quality while the aircraft is still in the area of interest and data delivery during flights, or much faster afterwards. The systems transmit only the required data, allowing timely intelligence even in areas with poor communications infrastructure. </solution> <features> - Automated Sensor Operator (ASO) software compatible with common FMV gimbals to automate sensor control and imagery analysis. - Mission-specific AI for small target detection, automated mapping, and scene change detection. - Smart Sensors, including PT SERIES (outward-facing EO/IR) and TK SERIES (nadir-oriented multispectral) payloads. - Real-time data delivery in KML or shapefiles, enabling cross-cueing of other sensors and in-flight download of image chips or full-resolution raw images. - Onboard processing for target detection and classification. - Step-stare imaging across yaw axis with 360° rotation for unlimited situational awareness (PT Series). - Step-stare imaging across the roll axis for optimal coverage and resolution (TK Series). </features> <target_audience> The primary customers are organizations involved in wide-area search, ISR, and mapping missions, including those in fire and emergency services, maritime search and ISR, tactical intelligence, and inspection and mapping. </target_audience> ```

What does Overwatch Imaging do?

Overwatch Imaging develops AI-driven imaging systems for piloted aircraft and drones that automate real-time object detection and data analysis, addressing the inefficiencies of human-operated imaging in vast environments. Their technology enables immediate delivery of actionable intelligence and high-resolution multispectral mapping, significantly enhancing operational effectiveness in time-critical missions.

Where is Overwatch Imaging located?

Overwatch Imaging is based in Hood River, United States.

When was Overwatch Imaging founded?

Overwatch Imaging was founded in 2016.

How much funding has Overwatch Imaging raised?

Overwatch Imaging has raised 11150000.

Location
Hood River, United States
Founded
2016
Funding
11150000
Employees
35 employees
Major Investors
Shield Capital, Squadra Ventures

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Overwatch Imaging

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Executive Summary

Overwatch Imaging develops AI-driven imaging systems for piloted aircraft and drones that automate real-time object detection and data analysis, addressing the inefficiencies of human-operated imaging in vast environments. Their technology enables immediate delivery of actionable intelligence and high-resolution multispectral mapping, significantly enhancing operational effectiveness in time-critical missions.

overwatchimaging.com7K+
cb
Crunchbase
Founded 2016Hood River, United States

Funding

$

Estimated Funding

$10M+

Major Investors

Shield Capital, Squadra Ventures

Team (30+)

No team information available.

Company Description

Problem

Human-operated airborne imaging systems require highly trained observers to locate small objects in vast environments, which is inefficient, labor-intensive, and time-consuming. Existing mapping cameras lack real-time operating environments, forcing users to wait until flights conclude to work with the data.

Solution

Overwatch Imaging provides software-driven airborne imaging solutions that automate sensor operation and data processing for wide-area search, ISR, and mapping missions. The company's systems leverage computer vision, GPU processing, AI, and sensor fusion to automate critical tasks, enabling real-time analysis and delivery of actionable intelligence. Overwatch Imaging's solutions analyze full-resolution imagery in real-time, enabling immediate checks of coverage and quality while the aircraft is still in the area of interest and data delivery during flights, or much faster afterwards. The systems transmit only the required data, allowing timely intelligence even in areas with poor communications infrastructure.

Features

Automated Sensor Operator (ASO) software compatible with common FMV gimbals to automate sensor control and imagery analysis.

Mission-specific AI for small target detection, automated mapping, and scene change detection.

Smart Sensors, including PT SERIES (outward-facing EO/IR) and TK SERIES (nadir-oriented multispectral) payloads.

Real-time data delivery in KML or shapefiles, enabling cross-cueing of other sensors and in-flight download of image chips or full-resolution raw images.

Onboard processing for target detection and classification.

Step-stare imaging across yaw axis with 360° rotation for unlimited situational awareness (PT Series).

Step-stare imaging across the roll axis for optimal coverage and resolution (TK Series).

Target Audience

The primary customers are organizations involved in wide-area search, ISR, and mapping missions, including those in fire and emergency services, maritime search and ISR, tactical intelligence, and inspection and mapping.

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