Smart Motion Detection System using Raspberry Pi
نویسندگان
چکیده
منابع مشابه
Secured Smart Home Energy Monitoring System (sshems) Using Raspberry Pi
This paper deals with the design and implementation of Secure Home Automation using Raspberry Pi for mobile devices that leverage mobile technology to provide essential security to our homes and associated control operations. The proposed home security solution hinges on our novel integration of cameras and motion detectors into web application. Raspberry Pi operates and controls motion detecto...
متن کاملSmart Sensor Interface over IOT Using Raspberry PI Board
A sensor interface device is essential for sensor data collection of industrial wireless sensor networks (WSN) in IoT environments. However, the current connect number, sampling rate, and signal types of sensors are generally restricted by the device. Meanwhile, in the Internet of Things (IoT) environment, each sensor connected to the device is required to write complicated and cumber-some data...
متن کاملDesign and Development of a Smart Mirror Using Raspberry Pi
This paper presents the design and the development of an interactive multimediafuturistic Smart Mirror with artificial intelligence for the ambient home environment as well as for commercial uses in various industries.The project which would collect real world machine data and the data would be transmitted from the machine and would be managed by the Raspberry Pi. The Smart Mirror implemented a...
متن کاملMotion Detecting Camera Security System with Email Notifications and Live Streaming Using Raspberry Pi
Even when needed, having a security camera system may sometimes be impossible due to the extensive costs for installation. The Raspberry Pi is a credit card sized computer that has the capability to become a camera security system when its own camera board is used. It contains the software motion which enables the Pi’s camera to detect motion and save the image as well as view live streaming fr...
متن کاملFace recognition system on Raspberry Pi
An embedded face recognition system based on the Raspberry Pi single-board computer is proposed in this paper. Face recognition system consists of face detection and face localization using Haar feature-based cascade classifier. Face features are extracted using weighted Local Binary Pattern algorithm. Developed system performs one full face analysis in 110 ms. Comparison of two biometric sampl...
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: International Journal of Applied Information Systems
سال: 2016
ISSN: 2249-0868
DOI: 10.5120/ijais2016451506