1. DETECTION OF SURVIVORS USING THERMO & NIGHT VISION SYSTEM (UNDER DEVELOPMENT) Zbigniew Burciu, Teresa Abramowicz-Gerigk, Piotr Michna, Leszek Smolarek, Jarosław Soliwoda, Andrzej Szklarski, Sebastian Ukleja Gdynia Maritime University – Poland Technologies for Search, Assistance and Rescue Le Quartz Brest, France Presented by Sebastian Ukleja

2. Detection of survivors using Thermo & Night Vision System Stage 1 – Thermo vision as a sensor Stage 2 – Designing a system Stage 3 – Trials at sea Stages of research

3. Detection of survivors using Thermo & Night Vision System 10 persons – 20 minutes later 4,4°C 10 persons – just after manning -3,2°C

4. Detection of survivors using Thermo & Night Vision System Distance: 0,5 nautical mile Distance: 0,6 nautical mile Trials at sea Trials at sea Life raft

5. Detection of survivors using Thermo & Night Vision System Searching during night time Searching during night time Thermo vision as a sensor for SAR action Improved detection Improved detection Life rafts with survivors or not Life rafts with survivors or not

6. Detection of survivors using Thermo & Night Vision System Phase 2 – Where to install? Phase 3 – Compensation of ship motion Phase 4 – Selecting parts of equipment Phase 5 – Automatic detection Phase 1 – System in outline Stage 2 – Designing a system

7. Detection of survivors using Thermo & Night Vision System Computer system for analysing images Sensors: thermo vision and night vision camera with stroboscope laser illuminator Special device to reduce effect of ship’s motion Special device to reduce effect of ship’s motion Monitor and control panel on the bridge Monitor and control panel on the bridge Phase 1 – System in outline

8. Detection of survivors using Thermo & Night Vision System Phase 2 – Where to install? Phase 3 – Compensation of ship motion Phase 4 – Selecting parts of equipment Phase 5 – Automatic detection Phase 1 – System in outline Stage 2 – Designing a system

9. Length: 56,34 m Breadth: 11,36 m Speed: 12 knots Built in Poland in year 2000 The prototype of our system was installed on m/s Horyzont II Phase 2 – Where to install? Detection of survivors using Thermo & Night Vision System

10. Phase 2 – Where to install? The best place to install: Maximize field of vision Maximize field of vision Reduce effect of temperature form funnel Reduce effect of temperature form funnel Reduce effect of ship’s motions Reduce effect of ship’s motions Detection of survivors using Thermo & Night Vision System

11. Phase 2 – Where to install? Point 3 Point 3 - smallest effect of ship motions

12. Detection of survivors using Thermo & Night Vision System Phase 2 – Where to install? Phase 3 – Compensation of ship motion Phase 4 – Selecting parts of equipment Phase 5 – Automatic detection Phase 1 – System in outline Stage 2 – Designing a system

13. Detection of survivors using Thermo & Night Vision System Phase 3 – Compensation of ship motion

14. Detection of survivors using Thermo & Night Vision System Scanning speed versus ship movement for δ = 3 0 for δ = 1 0 Calm sea

15. Detection of survivors using Thermo & Night Vision System δ = 3 0 δ = 1 0 Rough sea Scanning speed versus ship movement

16. Detection of survivors using Thermo & Night Vision System Phase 2 – Where to install? Phase 3 – Compensation of ship motion Phase 4 – Selecting parts of equipment Phase 5 – Automatic detection Phase 1 – System in outline Stage 2 – Designing a system

17. Detection of survivors using Thermo & Night Vision System Atmosphere Lens Matrix Camera Object Background Phase 4 – Selecting parts of equipment

18. Detection of survivors using Thermo & Night Vision System Phase 4 – Selecting parts of equipment  Т  (3  5)  С for uncovered human body  Т  (3  5)  С for uncovered human body Range 2 km - focal length about 300 mm. Range 2 km - focal length about 300 mm. We have chosen focal length 240 mm We have chosen focal length 240 mm RANGERANGE  Т [  С] [km] 2,27 km 1,82 km 0,76 km

19. Detection of survivors using Thermo & Night Vision System Phase 2 – Where to install? Phase 3 – Compensation of ship motion Phase 4 – Selecting parts of equipment Phase 5 – Automatic detection Phase 1 – System in outline Stage 2 – Designing a system

20. Detection of survivors using Thermo & Night Vision System Phase 5 – Automatic detection Integration of detection hits Extraction Program uses: Computer system for analyzing images CFAR processing (constant false-alarm rate )

21. Detection of survivors using Thermo & Night Vision System After CFAR 2 life rafts, distance  0,8 nautical mile, focal length = 100mm Phase 5 – Automatic detection

22. Detection of survivors using Thermo & Night Vision System 2 life rafts, distance  0,8 nautical mile, focal length = 100mm CFAR & integration Phase 5 – Automatic detection

23. Detection of survivors using Thermo & Night Vision System Distance 0,25 nautical mile Distance 0,25 nautical mile CFAR Phase 5 – Automatic detection

24. Detection of survivors using Thermo & Night Vision System CFAR&integration Distance 0,25 nautical mile Distance 0,25 nautical mile Phase 5 – Automatic detection

25. Stage 3 – Trials at sea Detection of survivors using Thermo & Night Vision System

26. Stage 3 – Trials at sea Detection of survivors using Thermo & Night Vision System

27. Search object – 25 life raft with 6 person in Helly-Hansen and RIB rescue boat as assistance DISTANCE 1,35 Nm Detection of survivors using Thermo & Night Vision System

28. Search object – 25 life raft with 6 person in Helly-Hansen and RIB rescue boat as assistance DISTANCE 2,22 Nm Detection of survivors using Thermo & Night Vision System

29. Search object – 25 life raft with 6 person in Helly-Hansen and RIB rescue boat as assistance DISTANCE 2,58 Nm Detection of survivors using Thermo & Night Vision System

30. Search object – 25 life raft with 6 person in Helly-Hansen and RIB rescue boat as assistance DISTANCE 2,76 Nm Detection of survivors using Thermo & Night Vision System

31. The movie...

32. Detection of survivors using Thermo & Night Vision System Bearing information Thermo vision Control panel Night vision

33. Conclusions: Detection of survivors using Thermo & Night Vision System Search during the night People in life raft Automatic detection Further work: Make final tests of automatic detection Determine sweep width and POD Determine effect of rain and fog Computer aided system for search object identification

34. Thank you for attention Detection of survivors using Thermo & Night Vision System

37. Sweep width Probability of Detection Detection of survivors using thermo-noktovision system