International Journal of Image Processing and Pattern Recognition

A Review of Real-Time Human Detection

By Eshwar Gopad, Rohan Bihari Jangid, Riya Sandeep Salvi, and Mahesh Sunil Belhekar

Abstract: The real-time human detection and counting system leverages deep learning and computer vision to detect individuals, classify gender, and estimate age from live video feeds or CCTV footage. Implemented using flask as a lightweight web framework, the system manages user authentication, detection control, and real-time result display. A Python-based detection script operates asynchronously, ensuring smooth execution,…

A Review on Design and Analysis Model for Detectionand Classification of Lung Diseases Using Medical Images

By Kishor T. Ugale and Hemant Patidar

Abstract: A key component of the human respiratory system, the lung regulates blood oxygen levels through gasexchange. Diseases linked to the lungs are becoming more common as pollution levels rise. In order topreserve human life, it is crucial to identify lung disorders early. In order to forecast lung disease, clinicalprofessionals analyze medical imaging, such as CT…

Audio & Video Translate System

By Kaveri Kiran Desai, Amol Shakadwipi, Khushi Nitin Ingale, Ruchita Ashok Bharade, and Bhumi Sahebrao Zalte

Abstract: With the increasing expansion of digital media and globalization, there is a rising need for sophisticated audio and video translation systems to overcome language and cultural barriers. This paper explores the role of these systems in localizing multimedia content, ensuring accessibility, and complying with global standards, including those focused on individuals with disabilities. The research…

Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation

By Abarna J, Charubala A, Abinaya S, Matheswaran P, and Atchaya N

Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed…

Blind Assistance System Using Digital Image Processing

By Ravindaran F, Dhinesh K, Dhinesh C, Gowrishankar S, and Ashokkumar S

Abstract: This paper brings forth state-of-the-art blind assistance, and the system here provides a combination of an OpenCV-based DNN module based on YOLOv3’s algorithm; the system would support real-time object detection, with associated auditory notifications to enable visually impaired individuals to understand their autonomy couched with safety about improved fast recognition of objects allied with auditory…

Deep Learning with CNNs: A Survey of Techniques and Real-World Applications

By Teena Uppal

Abstract: Convolutional Neural Networks (CNNs) have emerged one of the most powerfully used tools in deep learning, particularly in image and pattern recognition tasks. CNNs are being revolutionized through deep learning resulting in a dominant architecture in computer vision as well as other various domains. This paper provides a comprehensive survey of CNN-based deep learning, its…

Gourmet Sage Using Deep Learning With Calories Chart

Abstract: Gourmet Sage via Deep Learning with Calories Chart is an innovative system that merges advanced deep learning technology with nutrition science to help users make healthier dietary choices. By leveraging YOLOv8, a cutting-edge object detection model, the system allows real-time identification of food items, estimating their calorie content and ingredient composition with remarkable accuracy. It…