Defect detection in Mango fruit using Image Processing
Image processing technology has been widely used in the agricultural field. Most of it is applied to the robot that can be utilized for picking fruit and for inspection vehicles. Defect detection is a major challenge for computer vision to achieve near-human levels of recognition. The fruits and vegetable defect detection are useful in the supermarkets and can be utilized in computer vision for the automatic sorting of fruits from a set, consisting of different kinds of fruits. The objective of this work is to develop an automated tool, which can be capable of identifying and classifying mango fruits based on shape, size and color features by digital image analysis. However, defect detection by a human is labor-intensive and time-consuming. The proposed methodology is useful in supermarkets for the automatic sorting of fruits from a set of different kinds of fruits. This system minimizes error and also speeds up the time of processing. The objective of this work is to present a novel method to detect surface defects of fruit using RGB images. The proposed method uses pre-processing, segmentation, edge-detection and feature extraction to classify the fruit as defected or fresh. MATLAB has been used as the programming tool for the identification and classification of fruits using the Image Processing toolbox. The proposed method can be used to detect the visible defects, stems, size and shape of mangoes.
Published by: Shruti Padmanaban, Shobhana M., L. N. Sneha Narasimhan
Author: Shruti Padmanaban
Paper ID: V6I2-1272
Paper Status: published
Published: March 27, 2020
Performance analysis of low power 1-Bit CMOS full adder
One-bit full-adder efficiency and interpretation are anatomized into smaller parts. Such modules are thoroughly tested. Multiple designs are created, simulated and evaluated for each full adder. Twenty separate 1-bit full-adder modules are designed by integrating the various designs of these modules. Each of these full adder exhibits different power consumption, speed, area, and driving capabilities. Two realistic circuit structures that include full adders are used for simulation. The main aim of our project is to use CMOS technology to construct an optically reconfigurable low power full adder circuit. Analysis of time parameters in all existing full adders and comparison with the time study of our proposed circuit.
Published by: Nafies, Jenith K., Gowtham I. R., Arun Samuel T. S.
Author: Nafies
Paper ID: V6I2-1251
Paper Status: published
Published: March 27, 2020
Image de-noising and segmentation based on Fuzzy C-means clustering using Gaussian Noise
Image sweetening technology is the most efficient essential technologies in the image process field. The aim of image sweetening is to boost the interpretability or perception of knowledge in pictures for human viewers or to supply `better' Input for alternative machine-controlled image process techniques. Image Segmentation is one in every of the very important steps in the Image process for gathering data from the photographs. To check the effectiveness of noise in pictures, a noise like Gaussian noise measure added to the first image. The separate wave remodels (DWT) and Thomas Bayes Shrink soft thresholding is then applied for the removal of clamorous pixels and to smoothen the image. The planed technique is additional economical than the abstraction domain-based technique, is found to supply higher sweetening compared to alternative compressed domain-based mostly approaches. Within the end, the fuzzy-based mostly changed FCM bunch is performed on the de-noised pictures to provide clusters of segmented results.
Published by: D. Deepan, N. Vishal, Devanshu Gedam, G. Hari Aditya, V. Reji
Author: D. Deepan
Paper ID: V6I2-1303
Paper Status: published
Published: March 23, 2020
Auto maintenance of poultry farm
The main idea of our project is to find the poultry farm parameters like Moisture, Temperature, water and feeding the chicks using temperature and humidity sensor, level sensor and timer. Moreover, we just update these values to the farmer using GSM, so that the users can get to know about the parameters of their farm from any distinct points away from their farm. The user can also manipulate and control the device which will be placed on the farm like turning OFF and ON through the mobile itself. Thus, the user can get details about their farm and also control the whole hardware device being in any part of the world away from their farm. Thus, our solution turns out to be a cost-effective one and also promotes healthy and efficient monitoring of poultry farms.
Published by: Oviya M., Susan Mano Derry V., Pavithira B., Nesavi S.
Author: Oviya M.
Paper ID: V6I2-1291
Paper Status: published
Published: March 23, 2020
Artificial Intelligence in Software Defined Networking
This paper focuses on the challenges and opportunities of Software Defined Networking (SDN), as well as how to select the best possible SDN controller, which will help reduce the complexity of a network, price of implementation, and the maintenance of a network in any big organization. This is followed by a basic introduction to Artificial Intelligence and some of its important domains and their use in SDN.
Published by: Arhaan Aggarwal
Author: Arhaan Aggarwal
Paper ID: V6I2-1287
Paper Status: published
Published: March 23, 2020
A literature review on physio-chemical parameters of domestic grey water of residential building
One of the most persistent complications of today is water inadequacy. International Water Management Institute has been estimated that one in three persons will face water inadequacy by the year 2025 in India and as per the United Nations report 2016 around 2.7 billion people by the same time worldwide. Although India occupies only 3.29 million km2 geographical areas which form 2.4% of the world’s land area, it supports over 15% of the world's population with only 4% of the world's water resources. With augmented population progression and development, there is a need to critically look at alternative approaches to ensure water availability. These alternative resources include rainwater and bulk of water used in the household will emerge as greywater and contain some organic waste materials dissolved and suspended in it. When this is allowed to flow out this will join the sewage and bacteriologically contaminated, resulting in a sewage stream. It is possible to intercept this greywater, at the household level, treat it so that it can be recycled for use of other purposes.
Published by: Ar. Niranjan Vilas Sangawar
Author: Ar. Niranjan Vilas Sangawar
Paper ID: V6I2-1280
Paper Status: published
Published: March 23, 2020
