IEEE 2017-2018 Project Titles on Automations

Abstract:

With the rapid increase in usage and reliance on the vivid features of smart devices, the need for interconnecting them is genuine. Many existing systems have ventured into the sphere of Home Automation but have apparently failed to provide cost-effective solutions for the same. This paper illustrates a methodology to provide a low cost Home Automation System (HAS) using Wireless Fidelity (Wi-Fi). This crystallizes the concept of internetworking of smart devices. A Wi-Fi based Wireless Sensor Network(WSN) is designed for the purpose of monitoring and controlling environmental, safety and electrical parameters of a smart interconnected home. The user can exercise seamless control over the devices in a smart home via the Android application based Graphical User Interface (GUI) on a smartphone. The overall cost of large scale implementation of this system is about INR 6000 or USD 100.

Abstract:

Measurement systems receive a continuous increase in its implementation and research in control systems area. These systems are responsible mostly for the acquisition, supervision and data control, resulting from the automation action in industrial processes. Microcontrolled systems are extremely importance, therefore optimize processes in various industrial areas daily, may have several other applicability due to small size and versatility. This work aims to present the study, design and development of a non-contact measurement system applied to a conveyor, for inspection of workpiece diameter transported continuously, using automated measurement techniques in manufacturing processes. The microcontroller PIC 18F4520 is used to actuate the system developed, responsible for the acquisition, processing, and display the results in the measurement, as well as being responsible for the capture of pulses emitted by encoder, at the time that occurs the interruption of the light beam, that is generated by photoelectric presence sensor, which scanning the workpiece while it is moving at the conveyor. At the end of the inspection operation, the diameter is showed on LCD display, and the information are transmitted to a remote computer, by communication serial standard RS-232, in which both have the purpose of show and store to the operator the measurement result. With the measurement result, the system is able to analyze the collected data and quality control performance of parts produced in cell production, automatically. Tests with the measurement system developed in laboratory were carried out, revealing a repeatability of ± 124 μm to a probability of 99.00% and good reproducibility.

Abstract:

In this project we address the problems faced at toll plaza & also introduce identification system for vehicles against which stolen and accident cases are registered using RFID. The owner has to create an account through mobile application & register his RFID tag. When vehicle passes through Toll Collection Unit (TCU) it is classified as passenger or goods carrying vehicle based on its Unique Identification Number (UIN). A goods vehicle is weighed at TCU & if it is overloaded then charged with extra tax. UIN is passed to Central Server Unit (CSU) where the balance gets deducted from account. Once the balance is deducted at CSU it will indicate TCS to open the barricade and vehicle is allowed to pass. lf vehicle is detected to be stolen at CSU it will indicate TSC not to open the barricade. Also to overcome the problem of hit & run cases collision detection mechanism is implemented using piezoelectric sensor in vehicle to identify RFID of collided vehicles. These details can be used for further action.

Abstract:

Home Automation Systems (HAS) have gained world-wide popularity these days. It guarantees security, surveillance and solace to the user and make their life more comfortable. In developed countries, many households have smart home automation systems which detect their surroundings and act on the data to trigger home appliances such as fan, air conditioners etc. But these systems are not very popular in developing nations as compared to developed nations because of their pricing. Also, almost all of these systems are hard coded so they just make some decisions based on iterative conditions. The system has neither user defined nor conditional control. There comes the need of Voice Controlled Home Automation Systems (VCHAS). The proposed ZigBee based home automation system and Wi-Fi network are unified through a mutual home gateway. The combinatory offers network interoperability, a simple and supple user interface, and distant access to the system.

Abstract:

The purpose of this study is to showcase the design and development of a web-enabled home automation system prototype. The unit was developed using low-cost components such as the ubiquitous Arduino microcontroller. One of the features of the developed unit is the ability to monitor the power consumed by electrical loads. The unit also has the ability to control the status of individual loads through the internet using a web-enabled mobile application. This feature enables load management that could contribute to energy saving.

Abstract:

In recent years, home automation has become so popular due to its numerous advantages. The home environment has witnessed a rapid introduction of network enabled digital technology. This technology comes with new and exciting opportunities to increase the connectivity of different devices within the home for the purpose of home automation. This paper aims at designing a basic home automation system of controlling multiple appliances which can be monitored and accessed from anywhere in the world with very low cost. The technology incorporates Raspberry Pi and the web server. The Raspberry Pi and Arduino integrated with Nrf modules are used to monitor the home environment appliances, and the readings are passed to the web server designed. The parameters or commands sent through web page are monitored frequently and if any threats found the mobile connected to this web server is alerted through an alarm or message. The user can access this application from anywhere in the world. The result produced is low cost advantageous and absolute. Performance Analysis of different protocols (MQTT, HTTP and CoAP) is estimated using visualizations.

Abstract:

Left turn across path crashes with a vehicle traveling from the opposite direction (LTAP/OD) are a common and often fatal intersection crash scenario in the U.S. Intersection advanced driver assistance systems (I-ADAS) are active safety systems emerging in the vehicle fleet that are intended to help drivers safely traverse intersections. The objective of this study was to examine the earliest detection opportunity for I-ADAS in LTAP/OD intersection crashes. A total of 35 crashes were extracted for this study's analysis from the NASS/CDS crash database. EDR precrash records taken from each vehicle were then used to determine vehicle position with respect to time. Two scenarios are considered: one with and one without potential sight occlusions. The results suggest that, even if no sight obstructions are present, an I-ADAS that warns drivers of an impending collision will be greatly limited by perception-reaction time. Accordingly, systems that employ automated emergency braking are expected to be substantially more effective. Required detection distances and azimuth values are presented. The results highlight the need for careful tuning of sensor capabilities and the need to consider side-facing sensors for ensuring vehicle tracking prior to any potential collision conflict.

Abstract:

Tire inflators are widely used all around the word and the efficient and accurate operation is essential. The main difficulty in improving the inflation cycle of a tire inflator is the identification of the tire connected for inflation. A robust single hidden layer feed forward neural network (SLFN) is, thus, used in this study to model and predict the correct tire size. The tire size is directly related to the tire inflation cycle. Once the tire size is identified, the inflation process can be optimized to improve performance, speed and accuracy of the inflation system. Properly inflated tire and tire condition is critical to vehicle safety, stability and controllability. The training times of traditional back propagation algorithms, mostly used to model such tire identification processes, are far slower than desired for implementation of an on-line control system. Use of slow gradient based learning methods and iterative tuning of all network parameters during the learning process are the two major causes for such slower learning speed. An extreme learning machine (ELM) algorithm, which randomly selects the input weights and biases and analytically determines the output weights, is used in this work to train the SLFNs. It is found that networks trained with ELM have relatively good generalization performance, much shorter training times and stable performance with regard to the changes in number of hidden layer neurons. The result represents robustness of the trained networks and enhance reliability of the mode. Together with short training time, the algorithm has valuable application in tire identification process.

Abstract:

Estimating wind speed and direction in outdoor areas with high precision and resolution requires a large number of anemometers distributed in different locations. Compared with others conventional sensors, the micro electro mechanical system (MEMS) sensors are lighter and smaller, therefore, they can be integrated in large numbers. Moreover, due to their batch production, MEMS sensors are relatively low cost. Their main drawbacks are the dependence on the air temperature and the inability of detecting the flow direction. This paper deals with the design of a cylindrical-shaped probe equipped with two dual MEMS hot-film sensor chips calibrated in a wind tunnel. With the obtained results, a model based on artificial neural network is developed and implemented on Arduino board. This model is assigned to calculate the corresponding values of wind speed and direction with correcting the effect of temperature drift. Finally, outdoor tests are carried out at wind monitoring points measured by an opto-electronic anemometer and an opto-electronic wind vane. The obtained results are accurate and agree well.