Design of a Python-based Lecture Capture System using Haar Cascade Algorithm with Noise Reduction as Facility for Learner-Centeredness in OBE

2020 ◽  
Author(s):  
Arnold C. Paglinawan ◽  
Charmaine C. Paglinawan ◽  
Febus Reidj G. Cruz ◽  
Kristine Mae R. Abrina ◽  
Abemael Dayne P. Batiancila ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Lecture Capture ◽  
Cascade Algorithm ◽  
Learner Centeredness ◽  
Haar Cascade

scholarly journals Computer Vision Based Industrial Robotic Arm for Sorting Objects by Color and Height

2020 ◽  
Vol 01 (04) ◽  
pp. 116-122
Author(s):  
Abu Salman Shaikat ◽  
Suraiya Akter ◽  
Umme Salma
Keyword(s):  
Computer Vision ◽  
Production Process ◽  
Production Systems ◽  
Robotic Arm ◽  
Cascade Algorithm ◽  
Manual Sorting ◽  
System Requirement ◽  
Conveyor Belts ◽  
Haar Cascade ◽  
A New Technique

In industrial production systems, manufacturers often face difficulties in sorting different types of objects. Color and height-based sorting which is done manually by human is quite a tedious task and its needs countless time as well. For manual sorting, many workers are required, which can be quite expensive. Moreover, robots that can sort only color or height can’t be effective when there is a need of products with same color with different heights and vice versa. In this paper, a computer vision based robotic sorter is proposed, which is capable of detecting and sorting objects by their colors and heights at the same time. This work isn’t done before as height sorting of same shapes is a new technique, which is done with color sorting techniques by computer vision. It is equipped with a robotic arm having 6 degree of freedom (DOF), by which it picks up and then place objects according to its color and height, to a predetermined place as per the production system requirement. A camera with the computer vision software detects various colors and heights. Haar Cascade algorithm has been used to sort the products. This multi-DOF robotic sorter can be a remarkably useful tool for automating the production process completely, where multiple conveyor belts are used, which can reduce time complexity as well. In the proposed system, the efficiency of color and height sorting is around 99%, which proves the efficiency of our system. The overall improvement in the efficiency of the production process can be significantly enhanced by using this system.

scholarly journals Social Distancing for Covid-19 Monitoring System

2021 ◽  
pp. 49-61
Author(s):  
Raj Kushwaha ◽  
Kismat Khatri ◽  
Yogesh Mahato
Keyword(s):  
Real Time ◽  
Safe Distance ◽  
Public Places ◽  
Cascade Algorithm ◽  
Facial Mask ◽  
Social Distancing ◽  
Video Footage ◽  
Camera Systems ◽  
Haar Cascade ◽  
Increasing Demand

The battle of corona-virus and mankind is possible to be tackled as long as we maintain the basic norm of social distancing and wearing masks amongst ourselves as it is through our droplets from the respiratory tract that the virus spreads. With the increasing demand for man-force and people requiring to go to their workplaces post lockdown, it is very necessary that we save each other from the virus. In this project, we will go through a detailed explanation of how we can use Python, AI and Deep Learning to monitor social distancing at public places and workplaces are keeping a safe distance from each other by analyzing real-time video streams from the camera and also detect facial mask monitoring using OpenCV and Python. To ensure if people are following social distancing protocols in public places and workplaces, we wanted to develop a tool that can monitor if people are keeping a safe distance from one another, wearing masks or not by processing real-time video footage from the camera. People at workplaces, factories, shops can integrate this tool into their security camera systems and can monitor whether people are keeping a safe distance from each other or not along with that we detect facial mask monitoring using Python with help of haar-cascade algorithm to see whether a person is wearing a mask or not. We are also planning to include thermal screening detection to measure the temperature of the subjects, a dashboard which will display a live report of corona cases around the world. We will also include an alert system that will send a notification to the authorities if the social distancing is not followed or if the temperature exceeds the threshold. The authorities can take suitable measures to isolate the subject and thus prevent the spread of Covid-19.

scholarly journals Automatic Attendance System Using Face Recognition Technique

2020 ◽  
Vol 9 (1) ◽  
pp. 2134-2138
Keyword(s):  
Face Recognition ◽  
User Interface ◽  
Graphical User Interface ◽  
Cascade Algorithm ◽  
The Face ◽  
Haar Cascade ◽  
Recognition Technique

Attendance system is very important in schools and colleges’ Manual attendance system has many difficulties like it may less accurate and critical to maintain. So, attendance system using face recognition technique increase the accuracy and also it required less time than other methods. There are many existing system for attendance such as face recognition using IoT, PIR sensors and so on. For face recognition, hardware devices also helpful. But challenge is that to maintain all the sensors properly without get damage. After studying all method and techniques we are trying to implement a system with Haar Cascade Algorithm which has highest accuracy among all. It is able to capture the images from 50-70cm. We are creating graphical user interface which capture the images, create the dataset and train the dataset on single click. After recognizing the face it will display name of student and roll number. That information stored in attendance sheet automatically with time and date.

scholarly journals Automatic Gate using Face Recognition Technique using HAAR Cascade Algorithm

2020 ◽  
Vol 9 (3) ◽  
pp. 1302-1305
Keyword(s):  
Face Recognition ◽  
Elderly People ◽  
Personal Identification ◽  
Security System ◽  
Cascade Algorithm ◽  
Living Space ◽  
Single Person ◽  
Haar Cascade ◽  
Almost All ◽  
Recognition Technique

Now a day, in every single person households it is important to check regularly regarding their safety. Especially for elderly people it is mandatory, because they have become a target for certain burglars which leads to higher accidents/robberies in almost all the areas. To decrease the risk of such unwanted happenings in living space for single-person households, the hybrid security system should be adopted. The automatic personal identification has become the popular instead of using passwords or pattern in this days. This paper addresses the development of a face recognition technique for the above mentioned purpose.

scholarly journals Human Authentication using Face, Voice and Fingerprint Biometrics

2021 ◽  
Vol 9 (VII) ◽  
pp. 853-862
Author(s):  
Dr. Dinesh Kumar D S
Keyword(s):  
Recognition Performance ◽  
Code Word ◽  
Fingerprint Recognition ◽  
Cascade Algorithm ◽  
Minutiae Extraction ◽  
Fingerprint Biometrics ◽  
Haar Cascade ◽  
Nearest Neighbour Classifier ◽  
Matching Score ◽  
The Voice

Multimodal biometric approaches are growing in importance for personal verification and identification, since they provide better recognition results and hence improve security compared to biometrics based on a single modality. In this project, we present a multimodal biometric system that is based on the fusion of face, voice and fingerprint biometrics. For face recognition, we employ Haar Cascade Algorithm, while minutiae extraction is used for fingerprint recognition and we will be having a stored code word for the voice authentication, if any of these two authentication becomes true, the system consider the person as authorized person. Fusion at matching score level is then applied to enhance recognition performance. In particular, we employ the product rule in our investigation. The final identification is then performed using a nearest neighbour classifier which is fast and effective. Experimental results confirm that our approach achieves excellent recognition performance, and that the fusion approach outperforms biometric identification based on single modalities.

scholarly journals Improving the Dipping Step in Czochraski Process Using Haar-Cascade Algorithm

Electronics ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 646
Author(s):  
Le Tran Huu Phuc ◽  
HyeJun Jeon ◽  
Nguyen Tam Nguyen Truong ◽  
Jung Jae Hak
Keyword(s):  
Artificial Intelligence ◽  
Crystal Growth ◽  
Labor Cost ◽  
High Accuracy ◽  
Optimization Approach ◽  
Cascade Algorithm ◽  
Charge Coupled Device ◽  
Czochralski Crystal Growth ◽  
Haar Cascade ◽  
A Charge

Czochralski crystal growth has become a popular technique to produce pure single crystals. Many methods have also been developed to optimize this process. In this study, a charge-coupled device camera was used to record the crystal growth progress from beginning to end. The device outputs images which were then used to create a classifier using the Haar-cascade and AdaBoost algorithms. After the classifier was generated, artificial intelligence (AI) was used to recognize the images obtained from good dipping and calculate the duration of this operating. This optimization approach improved a Czochralski which can detect a good dipping step automatically and measure the duration with high accuracy. Using this development, the labor cost of the Czochralski system can be reduced by changing the contribution of human specialists’ mission.

scholarly journals Applying the Haar-cascade Algorithm for Detecting Safety Equipment in Safety Management Systems for Multiple Working Environments

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1079
Author(s):  
Le Tran Huu Phuc ◽  
HyeJun Jeon ◽  
Nguyen Tam Nguyen Truong ◽  
Jung Jae Hak
Keyword(s):  
Safety Management ◽  
Learning Algorithm ◽  
Warning System ◽  
Warning Signal ◽  
Working Environment ◽  
Safety Equipment ◽  
Cascade Algorithm ◽  
Working Environments ◽  
Safety Warning ◽  
Haar Cascade

There are many ways to maintain the safety of workers on a working site, such as using a human supervisor, computer supervisor, and smoke–flame detecting system. In order to create a safety warning system for the working site, the machine-learning algorithm—Haar-cascade classifier—was used to build four different classes for safety equipment recognition. Then a proposed algorithm was applied to calculate a score to determine the dangerousness of the current working environment based on the safety equipment and working environment. With this data, the system decides whether it is necessary to give a warning signal. For checking the efficiency of this project, three different situations were installed with this system. Generally, with the promising outcome, this application can be used in maintaining, supervising, and controlling the safety of a worker.

scholarly journals STUDENT ATTENDANCE SYSTEM BASED ON THE FACE RECOGNITION

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Harshit Agarwal ◽  
Govinda Verma ◽  
Lakshya Gupta
Keyword(s):  
Face Recognition ◽  
Recognition System ◽  
Graphical Interface ◽  
Student Attendance ◽  
Cascade Algorithm ◽  
Face Recognition System ◽  
The Face ◽  
Haar Cascade

Attendance system is very important in schools and colleges' The student attendance program has many problems such as it may not be accurate and critical to maintain. Therefore, an existing system that uses a face recognition system increases accuracy and also requires less time than other methods. There are many systems available such as face recognition using IoT, PIR sensors and so on. With face recognition, hardware devices are helpful. But the challenge is to keep all the nerves properly without getting hurt. After learning all the techniques and techniques we try to use the system with Haar Cascade Algorithm with the highest accuracy among them all. It can take pictures from 50- 70cm. We create a graphical interface that takes pictures, builds a database and trains the database with a single click. After seeing the face it will show the student's name and roll number. That information is stored on an automatic attendance sheet by time and date.

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