Verilog Based UART System Design
IoT based Smart Agriculture Monitoring Framework with Automation
Intel ® Processor Architectural and Integrated Development Environment Exploration
An Integrated Model of Digital Fuel Indicator and GPS Tracking System for Vehicles
Designing of an Embedded system for Wireless Sensor Network for Hazardous Gas leakage control for industrial Application
Hardware Implementation of Artificial Neural Networks
Fault Analysis on Grid Connected MPPT BasedPhotovoltaic System
High Efficiency Hybrid Intelligent Street Lighting Using A Zigbee Network And Sensors
License Plate Localization Using Novel Recursive Algorithm And Pixel Count Method
Design of Dual-Band Bandpass Filter Using Interdigital Embedded Open Loop Triangular Resonator Loaded with Stubs
This paper deals with the design and implementation of Raspberry Pi Secure Home Automation for mobile applications using mobile technology, which ensure that we are safe in our home, and related monitoring activities. Our new integration of the camera and motion detector is the key to our proposed Home Security solution. Raspberry Pi operates and controls remote sensing, live video sharing and recording, and handles tasks for potential replication on home hardware, such as turning on/off a TV or a microwave. Initially, when the activity is detected and Raspberry Pi alerts householders for possible interference, the cameras will automatically start recording. Raspberry Pi has two primary interaction parts: web applications running on the portable device browser, and server scripts running on the Raspberry Pi hardware element in the cloud. Due to its friendliness and ease of use, we have decided to include domestic security and home safety in a single program. For example, when an attacker enters a room, the PRI sensors detect the activity and trigger the monitor, and the camera captures photos of an individual interacting with a live video feed. Additional backup and email services are also provided for the customer, which provides better recovery facility for the user.
The evolution of methods for the observation of psychological tiredness has wide range of implementation in regions where continuous observation is of prominence like safety and transportation. This work is to improve a new driving fatigue recognition method in real time using brainsense band. One of the most significant features of road accidents is the driver's fatigue and this can be fatal, resulting in serious injuries and death. Therefore, a reliable real-time driver fatigue detection system that can alert the driver before an accident occurs is required. The various techniques available using EEG signals to detect the driver's drowsiness are found to be more effective. Here we used a single channel wireless EEG device which can obtain driver's attention and blink levels. The values are analyzed using MATLAB as a platform to detect driver's fatigue level. A threshold is set for the driver's attention and blink values and the system alerts the driver with an alarm if the extracted values fall below the threshold. A test is conducted on 15 subjects using the Brainsense headband, which provides an effective resolution for analyzing and avoiding driver fatigue in real-time situations.
According to the research, there are approximately 5.4 million people who are suffering from paralysis. The prototype system focuses on an unique system to help people with LIS paralysis, so they can communicate with a person in an easy manner. The system is done by making use of eye-blinks or eye movement as they cannot move their body parts. A camera module had been used to capture the image and convert the text to voice signal, which is displayed on LCD. The proposed system is coordinated by the help of Raspberry pi.
This paper presents a small plant of the water bottle filling, capping and labelling machine, and states the comparison between same projects using different controllers such as PLC, ARM7 controller, 8051 controller. A large number of bottles can be filled simultaneously using PLC (Programmable Logic Control). At the same time, a project using 8051 or 89C51 controller takes more time to perform the same task and it only fills one bottle at a time. The aim of the project is to develop an automatic machine for bottle filling, capping, and labelling to reduce labor. It is performed with superior performance using ARM7 controller. The project stated in this paper uses a conveyor belt, which is controlled by an ARM7 processor, which manually places the bottle on the conveyor to move forward to fill with water. The graphical display indicates the quantity of water filled in bottles and the number of bottles filled. In capping section, a robotic arm is used to fix the cap on bottle using DC motor. In next step, the bottle gets labelled on running conveyor belt. The software used is the embedded C programming, which guides the ARM7 processor to perform the respective tasks. The conveyor belt is controlled with the ARM7 processor using IC LPC2148.
The scheduling algorithm determines the process of execution by allocating the tasks to the available processors in a system. In an embedded system, real time control is essential for different applications like aircraft, manufacturing, information processing systems, etc. Multiprocessor based systems play a vital role to satisfy the real time performance constraints. In this aspect, different issues came to light when using scheduling algorithms for proper resource allocation and utilization. Many of the research scholars face difficulty in choosing the suitable platform for developing the new scheduling algorithms. For this concern, we acknowledge the performance parameters reviewed in the evaluation of multiprocessor based system using scheduling algorithms and simulation tools. Traditional real time scheduling algorithms are implemented using standard structure on suitable simulation tools for improved performance in terms of makespan, latency, flow time, utilization, success ratio, throughput and energy consumption. The main objective of this review is to find the optimum solution for multi-processor based system using scheduling algorithms in supported simulation tools.