The Possibilities of Artificial Intelligence Sunil Yashwant
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Although precision agriculture has been adopted in few countries; the agriculture industry in India still needs to be modernized with the involvement of technologies for better production, distribution and cost control. In this paper we proposed a multidisciplinary model for smart agriculture based on the key technologies: Internet-of-Things
Automation is the future for organizational processes. Robotic Process Automation (RPA) is the solution for software automation in various domains like IT, Finance and accounting, Supply chain and so on. In this paper we propose a RPA solution for education domain. This paper shows the automation process for result analysis of student’s examination results. The automation process takes input as the university result in pdf form. We performed automation on this input file using Automation anywhere tool. Our result shows that all the work is error free. Also time required for this analysis is around 94.44% less as compared to manual analysis by human.
The image processing and computer vision systems have been widely used for identification, classification, grading and quality evaluation in the agriculture area. Defect identification and maturity detection of mango fruits are challenging task for the computer vision to achieve near human levels of recognition. The proposed framework is useful in the supermarkets and can be utilized in computer vision for the automatic sorting of fruits from a set, consisting of different kind of fruits. The objective of this work is to develop an automated tool, which can be capable of identifying defect and detect maturity of mango fruits based on shape, size and color features by digital image analysis. MATLAB have been used as the programming tool for identification and classification of fruits using Image Processing toolbox. Proposed method can be used to detect the visible defects, stems, size and shape of mangos, and to grade the mango in high speed and precision.
An unexpected outbreak of 2019 Coronavirus disease (COVID-19) in Wuhan, China, led to a massive catastrophe across the world. The majority of the COVID-19 patients are getting diagnosed with pneumonia in their early stages. Over 22,00,000 confirmed cases have shown various ranges of symptoms, but the most predominant set includes fever, cough, and shortness of breath. The predominant set of symptoms, coupled with other critical symptoms, a prediction process has been devised in this paper to check whether a person is infected with COVID-19 or not. Based on the crucial impact of the symptoms, we have applied the support vector machine classifier to classify the patient's condition in no infection, mild infection, and serious infection categories. We have achieved an accuracy of 87% in predicting the cases.
As processing capacity is increasingly usable, the robotics system switches away from active
sensors for the perception of the world and turns into passive vision sensors. With the advent of teleportation
and real time video monitoring of complex environments, the need for onboard mobile robots to stabilize video
has become more prevalent. Many of today’s handheld video capture systems uses a rotating shutter camera,
such as a smartphone. The footage is taken from a handheld camera, resulting in moving point or targeted
image blur as well as frame to frame jitters. The typical way to protect the footage is with the use of additional
hardware including tripod stand. This paper introduces an algorithm of optical stabilization that combines
inertial fusion adaptive low pass filters. Using picture processing with rolling shutter camera correction, the
suggested method uses accelerometer and gyroscope to approximate camera orientation by picture distortion
caused by video recording system motion. Adaptive filter algorithms can be used to create a smooth camera
movement, and frame to frame jitters can be minimized using smoothing camera movement. For every android
smartphone that has been built in accelerometer and gyroscope, the suggested program can be introduced
