AUTOMATED SENSOR OPERATOR (ASO):
AI-based automation capabilities for common sensor platforms
YOUR sensor, OUR software
Automated Sensor Operator (ASO) utilizes a Computer Vision method in acquiring, processing, and analyzing sensor data, at the edge. By applying a mission specific trained target set the AI (ML/Deep Learning method) algorithm distils rich data down to actionable intelligence, which can be exploited and disseminated with negligible latency. By leveraging artificial intelligence, the human-intensive role of searching for small objects of interest in large geographical areas is greatly enhanced both in target detection accuracy, fixed search patterns, and larger searchable area.
Proven mission-specific AI sets
Customizable, trainable modules
Powerful detection algorithms
Automated sensor control & image capture
Rapidly evolving feature sets
AUTOMATED SENSOR OPERATION enables high-efficacy wide-area search and ISR activities through smart, systematic, mission-specific controls. This increases efficiencies and frees humans in the loop to focus on other tasks.
Sensor steering and control
Geo-referenced image data
Automated search patterns
Customizable path following
3rd party gimbal control
REAL-TIME DATA ANALYSIS
with mission-specific software that ingests data from the sensor, processes it on the edge and delivers actionable intelligence to an operator or networked system for further review. Overwatch AI can be trained to meet operational requirements and enhances human interpretation capabilities.
Customizable object detection
Fire, flood, oil spill mapping
Automated maritime search
Fire detection and mapping
delivered in real-time via edge processing and a simple user interface. Raw data is distilled down to the most important information, reduced for transmission and delivered to operators or networked systems for review or action.
• Interactive map display
• Sensor data fusion
• Mission-specific image outputs
• Simple network integration
• Data reduction for transfer
Sample use case: Maritime ISR
Overwatch Imaging ASO software controls sensor operation to scan large areas of ocean from high altitudes. AI-based software models ingest multispectral image data on the edge and analyzes it in real time with detection algorithms programmed to automatically detect user-selected objects of interest (large boats, small boats, swimmers, etc.) and send geolocated detections to a user or networked system for decision making.
Sample use case: Change Detection
Overwatch AI autonomously controls sensor operation over scan area to optimize coverage based on flight profile. After second pass over the same area of interest, onboard software compares data from both flight paths and finds changes between the scenes. Changes are georeferenced on an interactive map for user/operator review.
Overwatch AI: Fire Mapping
Overwatch systems are designed to simultaneously operate multiple area scan cameras, including visible band (RGB), near infrared (NIR), shortwave infrared (SWIR), mid-wave infrared (MWIR) and long-wave infrared (LWIR) in a co-boresighted system with a dual-antenna Global Positioning System (GPS) inertial navigation system. The sensors feed full bit-depth data to onboard AI-enabled GPU-accelerated image processors, which run Overwatch Imaging proprietary software to register, mosaic, align, geolocate, compress, and analyze imagery.