OPTICAL EDGE SENSOR STREAM [OFF-GRID NODE]
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27.8006° N, 97.3964° W
ENGINE: INT8 WASM SIMD
LATENCY: 8.4 ms
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FRAME RATE: 60 FPS
Active Targets
3 OBJECTS
LOCATION: Corpus Christi Beach (North Sector)
MODEL: YOLO-CoastLite v4 (INT8)
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BUFFER: LOCAL SRAM (0 DROP)
Edge Visual Detection Feed (Instant Classification)
DETERMINISTIC INFERENCE < 15ms
Field Hardware Link Layer & Ring Buffer Telemetry
Signal Strength
-86 dBm
SNR: +8.4 dB
TX Packets
1,482
0 Dropped (100%)
Local Ring Buffer
12.4% / 64MB
Zero Overflow
Mesh Uplink Gateway
CCBAY-GW01
Freq: 903.9 MHz
Solar PV & LiFePO4 Energy Storage Bus
SURPLUS CHARGINGBus Voltage
13.26 V
4S LiFePO4 Nominal
State of Charge
96.4%
12.8V / 10Ah Cell
Cell Enclosure
28.2°C
Thermal Nominal
Solar PV Harvest:
18.7 W
Node Load (Inference):
4.2 W
Net Power Surplus into Battery:
+14.5 W
MPPT Conversion Efficiency:
97.4% (Ultra-Low Dissipation)
Multi-Sensor Coastal Telemetry
TAMU-CC BUOY SYNC
Tide Level (MLLW Datum)
Ebb Flow
+0.82 m
Safe Tidal Range
Salinity Concentration
Hypersaline Normal
35.4 PSU
Baseline: 34.0–38.5
Dune Scarp Risk Index
LOW RISK
18° Slope angle
Toe Stable · Zero Slump
Green AI Resource Audit
98.3% REDUCTION
Cloud GPU (NVIDIA A100)
250.0 W
AeroCoast Edge Node (Local)
4.2 W
Daily CO₂ Avoided
2.38 kg CO₂e
Energy Reduction
98.32%
Industrial Analytics & Environmental Auditing Deck
24-HOUR TELEMETRY BUFFERTidal Surge & Salinity Cycle
Texas A&M Coastal Buoy Synchronization
MLLW / PSU
Cumulative Carbon Footprint (g CO₂e)
Cloud GPU (250W) vs Edge Node (4.2W Solar)
-2,380g CO₂ Net
24-Hr Multi-Class Detection Frequency
Debris, Ghost Gear, Scarping & Avian Wildlife
HOURLY COUNTS