Description:
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A System to detect wildfires, prevent illegal deforestation & poaching using WSN(Wireless sensor Networks) and Signal  Processing is shown. In the video, Cooja Simulator of Contiki OS is used to create a border router which is connected to a DSP through serial connection. The DSP part is not shown in the video, and is implemented using MATLAB, with the wireless network part demonstrated through Cooja.
 
Environment the system is used in:
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The system is deployed in a forest with no internet access, relying on radio communication with protocols like LoWPAN for fast and efficient data transfer.
Working:
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The nodes are equipped with sensors like Microphone, temperature sensor and gas sensor which relay the info to the border router. The virtual sensor readings can be seen by logging in to the virtual IP address of the nodes through a browser. This data is sent to the central node(Node 5 in video) which is connected to the cloud and DSP serially. It will listen to the data from its nearby nodes.In the video, an illegal poacher or logging machine, or forest fire which is detected through the sensor data processed at DSP is characterised by the pressing of a button. This button signifies that the DSP has returned a positive signal for identification of either forest fire, logging machine or other intruder.
What happens at DSP - Identification of signal is done at DSP using signal processing(FFT) & machine learning with pre fed audio of similar sounds of logging machines and gunshots used in poaching. This pre fed data is compared with incoming signal data from the wireless nodes to determine if signal is a threat of an intruder. Similarly, the temperature data of temperature sensors can be used to determine any forest fires at a specific node, and the node number is used to fetch and map the coordinates of affected area. The DSP part is simulated using MATLAB and is not shown.
The full paper can be viewed at- https://www.ijert.org/data-extraction-with-signal-comparison-for-forest-logging-prevention