Online ISSN: 2515-8260

Keywords : Python

Smart Mall Parking Management System Using Image Processing

Kanaga Suba Raja. S; Usha Kiruthika; R. Jaichandran; Balaji . V; Rameshwer . S; Roheeth. S

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 3004-3010

In India, the existing parking lot systems requires the car drivers looking for empty parking slots
within the car parking without providing any sort of detailed directions toward the available parking
spaces. As a result, drivers tend to waste tons of their time and energy whilst having to navigate through the
parking spaces within the car parking without knowing the right direction which would simply cause traffic
congestions within. This paper looks into this issue of car parking system in India and eventually proposes
an Android-based Car Parking System using low cost Image-Processing. The implementation of Image-
Processing into the car parking system enables drivers to receive data on the of empty car parking spaces.
The paper sets out to present an intelligent parking management system for empty parking zone detection
supported by image processing techniques, that captures and processes the image drawn at parking lot and
produces the space of the empty car parking spaces. This paper works on the planning and implementation
of Android-based Mall Parking that uses Image-Processing of the parking lot captured in frames from the
parking lot’s CCTV footage, finding the closest parking lot for drivers.



European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2668-2680

Documents of the ancient time gift several opposition for standalone gesture recognition systems, among them, the division and classification steps. Fastidiously gloss wordings square measure is required to coach a system. In some eventualities, written document square measure solely offered at the subdivision level. During this activity, we have a tendency to demonstrate the way to train the system with few tagged information. We have a tendency to additionally propose a model-based social control theme that considers the variability within the writing scale at the popularity section. We have a tendency to apply this approach to the publically offered browse dataset. Our system achieved the competitor result. Humans have distinctive handwriting designs that prove to be an obstacle for handwriting recognition algorithms. To date, multiple researches are done to acknowledge these totally different handwriting designs, most notable mistreatment the synthetic neural network (ANN) with back propagation algorithms that has additionally been verified to relinquish adequately high accuracies. By mistreatment real time method image capturing, this technique and algorithmic rule will be enforced to use multiple written entry information for faculties and universities, wherever the written information of a regular score sheet from totally different people will be transferred to a computer program.

Crop Value Forecasting using Decision Tree Regressor and Model s

AkshayPrassanna S; B A Harshanand, B Srishti; Chaitanya R; KirubakaranNithiyaSoundari .; SwathiSriram .; V Manoj Kumar; VarshithaChennamsetti .; Venkateshwaran G; Dr.Pramod Kumar Maurya

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 3702-32722

Machine Learning is an emerging research field which can be used for the analysis of crop
price prediction and accurately provide solutions for the same. We can use this system as a backhand
while we decide what a farmer should plant while considering factors such as annual rainfall, WPI
and so on which is provided from the dataset and produce a logical conclusion on which products
would give a more reliable outcome. The performance between Random forest ensemble learning and
decision tree regressor is compared and it has been observed that the Random Forest Ensemble
learning method gives a higher accuracy. In this system there are 23 crops whose information can be
accessed upon for deciding collaborated with a simple user friendly UI