Coastal communities and industries lack readily available, real-time data on water levels, hindering effective responses to flooding, storm surges, and changing tidal conditions. Traditional tide predictions rely on historical data and often fail to reflect current conditions accurately, leading to potential miscalculations and delayed responses.

Hohonu provides a network of internet-connected ultrasonic and radar sensors that deliver real-time water level monitoring via APIs and mobile applications. These sensors capture and transmit live data every six minutes, enabling users to compare current water levels against predefined thresholds and historical trends. The system employs NOAA-approved methods for data management, quality control, tidal harmonic calculations, and predictions. Hohonu's TideCast mobile app provides access to live data from Hohonu sensors and NOAA stations, along with weather conditions and predictive algorithms that leverage machine learning to improve forecast accuracy.

Real-time water level monitoring using ultrasonic and radar sensors

Data refreshed every 6 minutes

Internet connectivity via cellular or satellite

NOAA-approved data management and quality control methods

TideCast mobile app for iOS with live data, predictions, and weather conditions

Proprietary prediction algorithm using machine learning for improved accuracy

API access for integration with other systems

Target users include coastal communities, government agencies, researchers, and industries that require accurate, real-time water level data for flood management, coastal planning, and operational decision-making.