K. Bhanu Prakash Reddy ¹, K. Kiran Kumar ¹

Affiliations
1 Department of ECM, K L University, Guntur - 522502, Andhra Pradesh, IN

Abstract

Objective: To develop a smart wheelchair for blind and disabled persons. Methods and Analysis: The wheelchairs being used patients are not user friendly. In modern days, it is difficult for a person to attend a patient throughout the day. The proposed wheelchair can be self-manoeuvred easily by the patient using hand or head gestures. Apart from it, the wheelchair is aided by a voice guided indoor positioning system. Findings: We incorporated an IOT service device so that the status of the patient is regularly updated on a web server. This smart wheelchair is connected to the cell-phone of the guardian as well as the social media profile of the patient so that the patient can get help as soon as there's a mishap. Improvement: The wheelchair has ability to detect obstacles across the path of the patient and it can divert its path from the obstacle so as to avoid collision.

Keywords

Gesture Control, Internet of Things, Indoor Positioning, Obstacle Avoidance, Voice Guidance.

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V. Yaswanth ¹, K. Kiran Kumar ¹, N. Harshith ¹, G. Sai Teja ¹, R. Aparna ¹

Affiliations
1 Department of Electronics and Computer Engineering, K L University, Andhra Pradesh, IN

Abstract

Objectives: The main objective is the development of an efficient method in the recognition of vehicles in real world. Methods: The system relies on setting up of an alternate direct SVM classifier for every model in the planning set. Each of these Exemplar-SVMs is subsequently defined by a singular positive event and a large number negatives. While each discoverer is altogether specific to its model, we precisely watch that a troupe of such Exemplar-SVMs offers shockingly awesome theory. Our execution on the PASCAL VOC revelation errand is keeping pace with the altogether all the more bewildering idle part-based model of Felzenszwalb et al., at only a humble computational cost increase. But the central benefit of our approach is that it makes an unequivocal relationship between each acknowledgment and a singular get ready model. Findings: Since most revelations show incredible course of action to their related model, it is possible to trade any open model meta-data (segmentation, geometric structure, 3D model, etc.) clearly onto the recognizable pieces of proof, which can then be used as an element of general scene understanding. The current methods are taking negative information and processing them. They use the information mining to filter out the negative values, since the classifier is direct SVM the values are represented parametrically. However this system depends on an exceptionally basic thought. We use every model utilizing unending HOG template. The use of exemplar SVM will make the number of examples in the dataset more and the efficient way of processing the objects and identifying them. Applications: This system can be used for Indian roads scenario since there is no proper lane marking system and there is always a chance to get many disturbances in the images. This system can be more developed into a constant evolving model where the processed objects can be stored within and keeps on integrating the data set.

Keywords

Exemplar SVM, HOG, PASCALVOC, SVM.

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V. Sai Prasanna ¹, K. Kiran Kumar ¹

Affiliations
1 Master of Technology in Embedded Systems, Department of ECM, KL University, Guntur - 522502, Andhra Pradesh, IN

Abstract

Background/Objectives: This paper offers a clear traffic control system to pass emergency vehicles easily. In this paper to accomplishment the raise of current innovation called Automated Efficient Traffic Control System: waiting time of emergency vehicles and also used to control the traffic lights. Methods/Statistical Analysis: This makes the utilization of Radio Frequency Identifier (RFID). This makes it very tough to take away or get broken. We use RFID readerTK-5530, and PIC16F877A. A device Micro-chip to take a gander at the RFID Tag related to the vehicle. Findings: If RFID tag takes a look at fits in with the stolen automobile the Information is transmits the usage of GSM SIM300 to the police manager further, whilst ambulance is coming near to the intersection, it will touch to activity controller inside of the intersection switch on the unpractised light. Conclusion: The module makes utilization of Zigbee detachable on CC2500 and PIC16F877A. Device Micro-chip for remote correspondences among the rescue vehicle or visitor controller. It is used to sense ambulance in multidirectional and also sense the ambulance to reach the junction to junction communication with the priority of the vehicle.

Keywords

Ambulance Detection, Data Collection of Vehicles, Micro Controller based System, Traffic Management.

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Hema Dhanekula ¹, K. Kiran Kumar ¹

Affiliations
1 Department of ECM, KL University, Vaddeswaram, Guntur – 522502, Andhra Pradesh, IN

Abstract

 

Background/Objectives: This paper presents an automatic irrigation system to provide water to the farms based on soil and temperature conditions. It can also control irrigation system through the web application and GSM by using Raspberry pi 2 and 8051 microcontroller. Methods/Statical Analysis: Number of sensor nodes will be placed on farm according to the area of the farm, each sensor node contains temperature sensor, moisture sensor, water level sensor and motor. 8051 microcontroller makes the communication with all sensors placed in the farm and it can collect the parameters like moisture, temperature and water level. Raspberry pi 2 is used to control the web application and GSM modem. Raspberry pi 2 takes data from 8051 microcontroller continuously using a wireless communication device. In this paper ZigBee transceiver is used as a wireless device for transmitting and receiving data from both devices. A threshold value is given for each sensor, if any sensor crosses its threshold value a message will be send to the user and display in web applications. Findings: This system uses Raspberry pi 2 for achieving high speed of operation. In real time farms which are remote areas, this system uses 8051 controller for collecting data from sensors and transfer it to Raspberry pi 2 using wireless sensor device. This system controls the motor automatically when soil or temperature crosses its threshold and manually whenever user wants. Conclusion: This irrigation system works efficiently and speeds. This system sends message to the users whenever sensors exceed its threshold value. This system offers every user to understand the soil conditions and amenable manually.

Keywords

GSM, 8051 Microcontroller, Moisture and Water Level Sensor, Raspberry pi 2, Temperature, Web Application

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K. Kiran Kumar ¹, V. Sailaja ¹, Sk. Khadheer ¹, K. Viswajith ¹

Affiliations
1 Department of Electronics and Computer Engineering, KL University, Vaddeswaram, Guntur - 522502, Andhra Pradesh, IN

Abstract

Objectives: To develop a well-organised system in the vehicle number plate detection. Methods: The major techniques used in the implementation of the designs are gray scale conversion, black and white image conversion, filling holes, border detection and image segmentation. This is helpful to easily detect the license plate and identify the vehicle details. This is implemented on the real images. Findings: This algorithm provides overall accuracy and the average processing time with the images processing during day and night. This system works well in different illumination conditions. Applications: This system can be used for Indian roads scenario since there is no proper lane marking system and there is always a chance to get many disturbances in the images. This technique is applicable mainly at different restricted areas and highly confidential areas.

Keywords

Black and White, Gray Scale, Image Segmentation, Image Processing, Recognition

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