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Medio Ambiente Ecológico

Medio Ambiente Ecológico

Overview

Las soluciones de Medio Ambiente Ecológico se centran en áreas naturales clave como bosques, ríos, embalses y aguas costeras, utilizando cámaras térmicas, radar, drones y sensores IoT para construir una red de monitorización unificada. Al combinar la detección del nivel del agua y de objetos flotantes con la alerta temprana de humo e incendios, la plataforma ofrece visibilidad en tiempo real de los riesgos de incendios forestales, inundaciones y episodios de contaminación, permitiendo la localización rápida de incidentes, una respuesta de emergencia coordinada y la protección ecológica a largo plazo tanto de los ecosistemas como de las comunidades circundantes.

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Forest

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Water Area

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Forest

2

Water Area

Forest

Challenges

Forests and national parks often stretch across steep slopes and deep valleys, where human patrols are slow and traditional cameras struggle with distance, night-time darkness, and haze. Early fire points are tiny and easily masked by vegetation, while clouds, fog, and sunlight can cause false alarms. Without reliable long-range detection from high positions, it is difficult to spot small ignition points or thin smoke in time, leading to delayed response and greater risk of large wildfires.

Forests and national parks often stretch across steep slopes and deep valleys, where human patrols are slow and traditional cameras struggle with distance, night-time darkness, and haze. Early fire points are tiny and easily masked by vegetation, while clouds, fog, and sunlight can cause false alarms. Without reliable long-range detection from high positions, it is difficult to spot small ignition points or thin smoke in time, leading to delayed response and greater risk of large wildfires.

Water Area

Challenges

Conventional water level gauges are point-based and easily affected by damage, silt, or waves, while ordinary cameras can only provide visual reference without accurate data. Many sites lack linkage between water warnings and video verification, so abnormal rises, backflow, or blocked channels may not be discovered until flooding or overflow occurs. Manual patrols are time-consuming, especially in long river sections and remote areas, leading to delayed awareness of sudden storms or upstream discharges.

Conventional water level gauges are point-based and easily affected by damage, silt, or waves, while ordinary cameras can only provide visual reference without accurate data. Many sites lack linkage between water warnings and video verification, so abnormal rises, backflow, or blocked channels may not be discovered until flooding or overflow occurs. Manual patrols are time-consuming, especially in long river sections and remote areas, leading to delayed awareness of sudden storms or upstream discharges.