Title-Detection of Pothole by Image Processing Using UAV
Potholes on road can generate costly damage to flat tire or can cause wheel damage of motor cycle. Especially in India vehicle collision and major accidents happens due to immense depth of pothole on road. Thus, detecting and repairing of potholes on road is major challenge for in ITS (Intelligent Transportation System) service and road management system. In order to enhance the efficiency of pavement inspection,currently some new sorts of remote sensing methods without any physical damage to the pavements is possible. In our study the pavement images captured by the unmanned aerial vehicle are collected and distinguish the pavements with the pothole from the normal pavements by performing the Morphological Operations on the images. UAV is new tool under the Remote sensing technique for the pavement inspection with more efficiency as it is usable in hard to reach places also where road maintenance is difficult. Through large transport surveillance, we built a method that can detect pothole using various algorithms of image processing for time optimization of surveillance. A model of potholes is constructed using the image library, which is used in an algorithmic approach that combines a live road footage and simultaneously detection of potholes using simple image processing techniques such as a medium filter and edge detection. Using this approach, it was possible to detect potholes with a precision of 80% and recall of 74.4.%. Using UAV, we can reach in remote places and specially to National Highways, detection of pothole and collecting all database become very easy and time saving. With more advanced technologies such as Artificial Intelligence and Machine Learning algorithms can be used for surveillance of road with more precise results with automatic repairing robots or machines
Title-Voice Controlled Vehicle Dashboard
Driving a vehicle or a car has become tedious job nowadays due to heavy traffic so focus on driving is utmost important. This makes a scope for automation in Automobiles in minimizing human intervention in controlling the dashboard functions such as Headlamps, Indicators, Power window, Wiper System, and to make it possible this is a small effort from this paper to make driving distraction free using Voice controlled dashboard. and system proposed in this paper works on speech commands from the user (Driver or Passenger). As Speech Recognition system acts Human machine Interface (HMI) in this system hence this system makes use of Speaker recognition and Speech recognition for recognizing the command and recognize whether the command is coming from authenticated user(Driver or Passenger). System performs Feature Extraction and extracts speech features such Mel Frequency Cepstral Coefficients(MFCC),Power Spectral Density(PSD),Pitch, Spectrogram. Then further for Feature matching system uses Vector Quantization Linde Buzo Gray(VQLBG) algorithm. This algorithm makes use of Euclidean distance for calculating the distance between test feature and codebook feature. Then based on speech command recognized controller (Raspberry Pi-3b) activates the device driver for motor, Solenoid valve depending on function. This system is mainly aimed to work in low noise environment as most speech recognition systems suffer when noise is introduced. When it comes to speech recognition acoustics of the room matters a lot as recognition rate differs depending on acoustics. when several testing and simulation trials were taken for testing, system has speech recognition rate of 76.13%. This system encourages Automation of vehicle dashboard and hence making driving Distraction Free
Title-Up gradation of Overhead Crane using VFD
The industrial revolution have put the use of overhead crane in variety of diverse applications to move heavy and oversized objects that other material handling methods cannot. Electrical technology for crane control has undergone a significant change during the last few decades. The shift from Ward Leonard system to DC drive technology and the advent of powerful Insulated Gate Bipolar Transistors (IGBTs) during the 1990s enabled the introduction of the AC drive for motor speed control. Conventional system uses slip ring induction motor for crane control. In this paper we are exploring the method for upgrading conventional system for overhead crane control using Variable Frequency Drive(VFD) and demonstrate that upgraded technology provide cost effective means to make system more efficient, productive and safer.
Mrs. A.S.Shinde,Somnath Birajdar,Mohini Gadave,Shubham Gonjari has filed a patent E-2/590/2018-MUM titled “System to check Lungs health Condition and Pleural Effusion detection using Image Processing”
Submitted Research Proposal on Speech Processing Applications under ASPIRE Scheme of BCUD University Research Grant scheme for Academic Year 2020 – 2022.
Research Proposal on “Human Stress Analysis Using EEG Signal for Improvement of Depression Disorder” of Rs. 2,80,000/-Under BCUD University Research Grant scheme for Academic Year 2017 – 2019.
SCOPUS PROFILE
https://www.scopus.com/authid/detail.uri?authorId=57540758500
WoS PROFILE
https://www.webofscience.com/wos/author/record/HJJ-0568-2023