Deep Litter AI: Seabed Plastic Detection Workbench

JAMSTEC Benthic CV v2.4
AI Inference: 2.0x Realtime (30 FPS) Depth: 1,420 m Confidence: 86.4% Avg
TRANSECT: JAMSTEC-SAGAMI-TR-1983-2026 LAT: 35°02.4'N | LON: 139°28.8'E STROBE: 100% (5200K)
Plastics Detected 14 items ↑ 8.4 items / 100m²
Mean Detection Confidence 87.2% Range: 81.4% - 91.8%
Survey Velocity 1.82 m/s 2.0x Human Baseline
Est. Benthic Density 420 g/km² Priority Zone B2

Science Grounding: Based on the September 2026 study in Environmental Pollution led by Dr. Ryota Nakajima. Analyzing 12,000 deep-sea benthic images collected since 1983 by the Japan Agency for Marine-Earth Science and Technology (JAMSTEC), the Deep Litter AI detects marine plastics at nearly twice the speed of human analysts with an 80% to 90% success rate, enabling rapid countermeasure targeting to prevent degradation into microplastics across vital Pacific bluefin tuna and salmon migration waters.

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