WILD LIFE DETECTION USING IOT AND ANDROID
نویسندگان
چکیده
Interference of wildlife into habitat without prior knowledge is known to be destructive for both human beings and animals. Human interactions with are defining experience existence.These can positive ornegative.The main aim the proposed system detect wild This uses long-range IR sensors ESP8266 Wi-Fi module movement animal send signal controller. transmitted GSM, which an alert farmers forest department immediately. also RFID(Radiofrequency Identification) so if near id will known. The endeavors prevent casualties that occur in areas having high animals interaction.. Keywords: Mobile application, Student attendance mark management system, API,, Paperless Office, Attendance Management.
منابع مشابه
Linear SVM-Based Android Malware Detection for Reliable IoT Services
Current many Internet ofThings (IoT) services are monitored and controlled through smartphone applications. By combining IoT with smartphones, many convenient IoT services have been provided to users. However, there are adverse underlying effects in such services including invasion of privacy and information leakage. Inmost cases, mobile devices have become clutteredwith important personal user...
متن کاملIntrusion Detection in IOT based Networks Using Double Discriminant Analysis
Intrusion detection is one of the main challenges in wireless systems especially in Internet of things (IOT) based networks. There are various attack types such as probe, denial of service, remote to local and user to root. In addition to known attacks and malicious behaviors, there are various unknown attacks that some of them have similar behavior with respect to each other or mimic the norma...
متن کاملAndroid Malware Detection Using SVM and GA
Security is one of the main concerns for Smartphone users today. As the power and features of Smartphone’s increase, so has their vulnerability for attacks by viruses etc. An Android OS could be attacked by hackers: Because it’s Open platform, Users will access the Internet intensively and everyone can develop applications for Android. In previous technique described that how security can be im...
متن کاملAndroid Malware Detection Using Backpropagation Neural Network
The rapid growing adoption of android operating system around the world affects the growth of malware that attacks this platform. One possible solution to overcome the threat of malware is building a comprehensive system to detect existing malware. This paper proposes multilayer perceptron artificial neural network trained with backpropagation algorithm to determine an application is malware or...
متن کاملAccident Detection Using Android Smart Phone
Nowadays, nobody in this world is ready to lookwhat’s happening around them. Even though, if any accident occurs no one cares about it. This is an intention to implement an innovative solution for this problem by developing an Accident detection System using android smart phone from the accident zone.This system has been developed and implemented using the heart beat sensor based mobile technol...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indian Scientific Journal Of Research In Engineering And Management
سال: 2022
ISSN: ['2582-3930']
DOI: https://doi.org/10.55041/ijsrem16970