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AUTONOMOUS MAN-OVERBOARD DETECTION AND TRACKING
AUTONOMOUS MAN-OVERBOARD
DETECTION AND TRACKING
MARSS COPYRIGHT ©2017 1
THE SYSTEM
AUTONOMOUS MAN-OVERBOARD DETECTION & TRACKING
The MOBtronic man-overboard system operates autonomously, instantly detecting and classifying a human falling overboard a vessel or structure.
Multiple sensor stations are mounted around the vessel or structure at strategic locations for instant detection and classification of a MOB incident activating alarms.
The intuitive command and control interface presents radar and video evidence for immediate confirmation and identification by the crew, while tracking of the victim at sea enables rapid response.
Following 7 years of rigorous testing in all weather conditions, sea states and vessel activities, MOBtronic is highly proven with a probability of detection (Pd) exceeding 95% and low nuisance system activation (<2 per week).
MARSS COPYRIGHT ©2017 2
THE TECHNOLOGY
AUTONOMOUS MULTI SENSOR OBSERVATION TECHNOLOGY FOR MAXIMUM RELIABILITY AND EFFECTIVE OPERATION IN ALL CONDITIONS
HARDWAREEach station is a self-contained unit integrating micro radars, imaging sensors and electronics for data acquisition and analysis.
SOFTWAREPatent pending, proprietary signal processing algorithms detect, track and classify falling objects.
UIThe intuitive command and control interface presents radar and video evidence for immediate confirmation and identification.
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5-LAYER DECISION HIERARCHY
Multiple radars simultaneously monitor volumes of interest - falling objects are detected and tracked
Radar track are confirmed by independent sensors
Behavior of confirmed tracks is analyzed (based on speed, fall direction, shape, strength) in order to flag a MOB track
Multi-sensor merging: MOB radar tracks are further classified based on their IR signature (object shape, dimension/range)
Visual confirmation by crew based on video replay; within seconds crew can confirm per video if detected object is a human
RADAR DETECTING & TRACKING
TRACK CONFIRMATION
BEHAVIOUR ANALYSIS
VIDEO ANALYTICS
CREW
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OPERATING PHASE #1 - MONITORING
Multiple sensors simultaneously monitor volumes of interest around the vessel.
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OPERATING PHASE #2 – DETECTION & ANALYSIS
Falling objects are detected, with independent sensors confirming MOB incident and alerting crew. Behavior of confirmed track is analyzed (based on speed, fall direction, shape & strength) in order to flag a MOB track.
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OPERATING PHASE #3 – TRACKING & SAR
Multi-sensor merging ensures that MOB radar tracks are further classified based on their IR signature (object shape, dimension/range), while live video feeds and tracking of the victim aids SAR operations.
MARSS COPYRIGHT ©2017 7
SYSTEM INSTALLATION
MARSS COPYRIGHT ©2017 8
EXTENSIVE TESTS – UNMATCHED PERFORMANCE
OPERATIONAL SINCE 2013. EXTENSIVELY TESTED IN VERY DIFFERENT CONDITIONS, ON SEVERAL PLATFORMS AT SEA, ALL YEAR AROUND AND IN THE MOST REMOTE OCEANS
Weather conditions: cold, hot, dry, humid, day, night, sunshine, cloudy, snow, no rain, light rain, heavy rain
Sea state: calm, moderate, severe (e.g. Atlantic crossings in the winter, North Sea)
Position: in port, at anchor, at dynamic positioning, underway
Activities: dock operations, deck activity (painting, washing,...), bunkering operations, tender lifting etc.
RESULTS
NUISANCE ACTIVATIONS <2 per weekPROBABILITY OF DETECTION >95%
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CLIENT BENEFITS
Autonomous multi sensor observation technology for maximum reliability and effective operation in all conditions
Instant detection and classification of MOB incident with immediate crew notification
Works without the need of wearable devices, that could be removed either by mistake or intentionally
Intuitive command and control interface presenting radar and video evidence for immediate confirmation and identification
Tracking of victim at sea aiding SAR operations through quick mobilization enabling rapid response
Probability of detection (Pd) exceeding 95% and low nuisance system activation (<2 per week) following over 5 years of development and testing (3000+ test launches)
MARSS GROUP
T: +377 93 50 52 22E: [email protected]
W: marss.com
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