Forest protection

FOREST PROTECTION

TargetAI is implementing a pilot project in the Akmola Region (Kokshetau).

Monitoring and analysis of video streams from ground-based surveillance cameras and patrol drones for the automatic detection of smoke or fire in open areas: forests, steppes, fields, and pastures.

The digitalization of forest and steppe ecosystem protection can become a key element in the implementation of the Environmental Code of the Republic of Kazakhstan. The introduction of intelligent video analytics ensures the rapid detection of threats across vast and hard-to-reach natural areas where the use of traditional smoke and fire detection sensors is ineffective or impossible.

Early detection of fire outbreaks prevents the spread of large-scale fires, reduces risks to public health and human life, minimizes damage to agriculture, and significantly reduces government expenditures on eliminating the consequences.

EARLY-STAGE FIRE AND SMOKE DETECTION

The AI-powered video analytics system automatically detects signs of fire at an early stage based on the appearance of smoke, open flames, and other characteristic signs. The solution instantly generates emergency alerts, enabling the rapid prevention of fire development and minimizing damage.

Functional Capabilities:
- Automatic detection of smoke and/or fire at an early stage within the camera’s field of view;
- Generation of emergency alerts about the event and creation of a fire incident card;
- Modeling the spread of fire based on wind, temperature, and precipitation to improve the effectiveness of response scenarios;
- Monitoring remote and hard-to-reach areas from the air;
- Integration with UAVs and thermal imaging cameras: aerial reconnaissance, live video streaming, and identification of the fire source and perimeter;
- Automatic notifications to responsible personnel;
- Coordination of response forces: deployment of teams, status tracking, and route prioritization;
- Routing of special-purpose vehicles: optimal routes taking into account traffic conditions and accessibility (terrain features).

Implementation impact

Preventing the spread of large-scale fires through the rapid detection of fire outbreaks
Reducing damage caused by wildfires

Devices

TargetEYE analyzes video streams from ground-based surveillance cameras and patrol drones 24/7, automatically detecting smoke or fire in open areas: forests, steppes, fields, and pastures.

Cameras installed on high-rise structures

24/7 real-time monitoring, including at night using infrared cameras.
Drones

Integration with UAVs, including video streaming, location tracking, and smoke and fire detection.
Thermal imaging cameras

Thermal imaging cameras detect thermal radiation and enable fire detection from a significant distance, including at night, in fog, or under smoky conditions.
Information systems

Integration of meteorological and satellite data, as well as data from other information systems.

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