Wildfire Prevention: Thermal Radar System

Canovate develops Canovate DeepWatcer Bispectral Thermal Radar System for rapid prevention of forest fires. Canovate Group Board Chairman Can Gür stated that 45 years of focus on R&D and innovation underpin their global success, continuing as follows: 'At our facility in Çekmeköy covering more than 40,000 square meters of enclosed space, we continue to develop, manufacture and export innovative products on a global scale with over 100 engineers and more than 850 employees across multiple sectors including data centers, fiber optic systems, parcel lockers, air conditioning systems and defense industry to over 80 countries across 4 continents. To date we have invested and continue to invest over 30 million dollars in R&D and innovation. Thanks to Canovate Group's 45 years of global experience, our engineering team and the nearly two-year development period under university-industry cooperation framework, the Canovate DeepWatcer Bispectral Thermal Radar enables prevention of forest fires. We expect strong demand for the thermal radar from our country as well as from many countries battling fires such as Greece, the United States, Australia and Brazil.'

Canovate DeepWatcer Bispectral Thermal Radar System

The Canovate DeepWatcer Bispectral Thermal Radar System operates independently of human intervention, continuously observing 24 hours a day, 365 days a year within a 20-kilometer radius using a Dual Spectrum Zoom camera system and Thermal Radar Algorithm to generate alarms. It was noted that this system was specifically developed and patented for prevention of forest fires. In addition to fire and smoke detection, motion analysis algorithms are available for desired areas. This enables detection and alarm generation for humans, vehicles or other living creatures entering and exiting forests in open areas and on roads. Location information is generated through image analysis for fire and alarm points. Thus the system can also contribute to public safety operations as needed. The system detects desired parameters such as weather conditions, solar radiation, soil moisture and pH in the monitored area in real time and transmits them to the monitoring center at desired intervals, enabling regional and national monitoring of alarms at specific centers and storage of captured images and data at these locations. The radar system eliminates the need for human observers or guards at the monitoring center. Through the developed image processing algorithm, it provides the location of the fire area. Any changes such as potential situations, heat detection or movement are immediately reported to authorities and changes are monitored on local and remote viewing screens. Alarms are transmitted via methods such as email and SMS. With the data provided, critical pre-fire warnings can be generated as the data includes instantaneous, real-time and local meteorological data vital for forests. Data such as excessive heat, very low humidity and soil dryness can be monitored. Thus the area can be placed under special monitoring and protection before fires occur. Furthermore, during fires, in addition to current information, additional parameters such as wind direction and speed are transmitted in real time and locally, enabling much more accurate decision-making regarding response. Through long-term meteorological and soil data analysis, more realistic data on forest resource development is provided. Source