The illegal movement of valuable trees such as sandal wood trees in forests poses a severe risk to natural reserves and it instigates a great loss to our country’s wealth. Almost 24,000 square miles has been lost due to deforestation in the past decade. This paper proposes an antipoaching system using NodeMCU based wireless system that uses 3- axis MEMS accelerometer (GY-61) and tilt sensor for detecting the falling of trees due to cutting of trees or natural calamities and Flame sensor, fire retardant for detecting and controlling the fire. In this project we use NodeMCU which has an inbuilt Wi-Fi module which covers a distance of around 300m range, is used in this project for cost efficiency and also NodeMCU enables the communication with neighbor nodes like client and server nodes. This protocol is used to monitor the trees even using a single node from the server system. The solenoid valve is used to spray the fire retardant to control the fire. Some IOT modules can also be used in this system to provide accurate information and remote monitoring of trees.
Today most applications are based on the secure accessing of openings to buildings, computer networks, laptops, cellular phones, bank transactions and ATMs. The aim of biometric recognition system is to ensure that the available services are utilized only by a legitimate user, or somebody else. This paper gives on overview of biometric recognition systems. It starts with the basic modalities taken for biometric system, and discusses about the procedure about how to recognize the person and various literatures and methodologies taken by many authors and the metrics to verify the recognition. The fusion methods adapted for biometric recognition plays an important role. All the fusion techniques which have been done on the particular biometric traits were discussed. Finally the normalization methods and the metrics used for evaluating the biometric system are discussed.
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