Fruit Freshness Detection Using Raspberry PI | Author : Krithika Jayasankar1 , Karthika B2 , Jeyashree T3 , Deepalakshmi R4 , Karthika G5 | Abstract | Full Text | Abstract :This paper sheds light on the advancements made in the agricultural industry. Digital
image processing techniques are now widely used for the maturity estimation of fruits. This work
aimed to study and analyze the various algorithms and feature extraction techniques that are
now used for the extracting features from the captured digital images. Thus, it is important for
the suppliers to label the quality of fruits. In this paper, we are inspecting the quality of fruits
based on size, shape and color and also by its weight. All these algorithms are implemented
using RASPBERRY PI development board which will become an independent and cost effective
system. All the interfacing of the components will be carried out and will make a cost effective
embedded system prototype for the determination of size, shape and color of the fruit. Same
system can be utilized for other fruits also. Advantages and disadvantages of various classifiers
have been classified. It was observed that for achieving high accuracy a compromise had to be
made with high computational complexity. |
| Confrontation and Dissection on E–Retailing Sales Chart Using Process Mining Tools | Author : B Devipriya, Dr.Y.Kalpana | Abstract | Full Text | Abstract :The electronic retailing (e-Tailing, e-Retailing, web retailing and so on.) is the model of offering of
retail products utilizing electronic media, specifically, the web. E-Retailing is a subset of web based
business (Electronic Commerce).The business-to-customer part of electronic trade (online business)
is the most unmistakable business utilization of the World Wide Web. The essential objective of an
e-commerce site is to offer merchandise and enterprises on the web. This paper has made an
endeavor to locate the best and reasonable apparatuses for mining the procedure in view of the
prerequisites and it is move in deals outline of online item class as illustration. |
| Smart Safety APRON for Petrochemical and Coal Mining Industries | Author : Dhivya.S1 , Dharshini.S2 , Sandhiya.L3 , Kavitha.K4 | Abstract | Full Text | Abstract :In the current scenario, the safety of the coal mining and petro chemical industrial
workers are not ensured as various hazardous gases are leaked and tedious health problems.
Sensors are used to detect the leakage of gases. Effective monitoring of various gases and
information regarding the gas leakages are not properly maintained. This proposed project
aims to provide smart apron for the workers in petrochemical and coal mining industries.
Various parameters like methane gas, carbon monoxide gas, hydrogen sulphide gas and even
the plant temperature can be detected by different sensors. Whenever the gas reaches specific
threshold value it leads to serious health problems and may even leading to explosion of the
entire unit. Therefore , to avoid these issues, continuous monitoring of gas leakages is required
and whenever the gas exceeds the threshold value the system immediately alerts the worker
about the danger and GSM module is used to send the relevant information to the control room.
Thus the effective monitoring and control of gas leakages can be performed directly from the
control room and ensures the safer industrial environment. |
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