Showing 1-25 of 1,129 resultsfor "Index Terms":Night Vision
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Fire Fighter Robot with Night Vision Camera
2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA)
Year: 2019 | Conference Paper |
Cited by: Papers (15)
Fire fighter robot is a machine developed by humans to guard human live, because the accidents happening during the fire extinguishing process is uncountable. This robot main function is to detect fire and move towards the fire automatically to extinguish it from a safe distance using water. This robot's movement and behavior will be fully controlled by a programmable raspberry pi. This robot whic...Show More
War Spying Robot with Wireless Night Vision Camera
2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN)
Year: 2020 | Conference Paper |
Cited by: Papers (7)
The main aim and objective of this project is to deal with the security issues such as combating of the terrorists activities by tracking their locations and launch pads and reducing soldier's efforts and involvement in the mission. This can be achieved by the RF BASED spy robot which consists of a night vision wireless camera. The robot consists of night vision camera which is wireless and it can...Show More
Conceptual machine vision design for day and night based on experiment approach
2017 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)
Year: 2017 | Conference Paper |
In human vision, eyes are not only able to identify object but also able to track the object. These characteristics are used as a reference by the researcher to compose artificial vision system. This artificial vision system can be applied to surveillance machines or automatic weapon machines. This article discusses how the vision can detect the target in day and night condition by two cameras. Im...Show More
Solar Powered Fire Extirpation Robot with Night Vision Camera
2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
In this paper we have constructed a fire extirpation robot with night vision camera which is solar power driven. The agent is mounted with 4 sensors and 2 motors and has a capability of detecting the fire prone areas with the help of the smoke and temperature sensors. It surpasses any obstacles using ultrasonic sensor and also identifies any live body in the affected area using PIR sensor. It crea...Show More
FlowerBot: A Deep Learning aided Robotic Process to detect and pluck flowers
R Raja Subramanian;Narla Venkata Anand Sai Kumar;Nallamekala Syam Sundar;Nali Harsha Vardhan;Maram Uma Maheshwar Reddy;M V Sanjay Kumar Reddy
2022 6th International Conference on Electronics, Communication and Aerospace Technology
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Due to the rising demand for flowers, floriculture has emerged as one of the key agricultural commercial trades. India's floriculture business is thought to have strong development potential. The rose is a crucial floriculture product in the global cut flower market, and flower picking is challenging at night. Humans are involved in the process of growing flowers, so they encounter many challenges...Show More
Design and Development of Cost-Effective Child Surveillance System using Computer Vision Technology
Vedavyas Peddiraju;Ramchandar Rao Pamulaparthi;Chakaradhar Adupa;Laxman Raju Thoutam
The project's primary goal is to ensure child surveillance, continuous monitor and alert system for safety. Pre-defined navigation is one of the primary challenges in the robotic industry. Many technologies have been developed to overcome these problems. The project utilizes a high-quality night vision camera that is installed on a navigation robot that moves in the pre-defined path. The night vis...Show More
Night vision applicability in anti-sway vision-based solutions
2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR)
Year: 2015 | Conference Paper |
Cited by: Papers (5)
This paper describes a common issues in architecture of the variety kind of vision-based sway sensors dedicated for the anti-sway solution as a feedback in close-loop systems. However, in the statement the author's attention was focused on the issue related with vision sensor architecture insensitiveness on actual exposure light conditions. The night vision functionality was obtained through use i...Show More
Night Vision Surveillance: Object Detection using Thermal and Visible Images
2020 International Conference for Emerging Technology (INCET)
Year: 2020 | Conference Paper |
Cited by: Papers (13)
Surveillance has become an important task in recent time mainly due to the increasing of crime rates. The existing research on surveillance for day time has achieved better performance by detecting and tracking objects using deep learning algorithms. However, it is difficult to achieve the same performance for night vision mainly due to low illumination and/or bad weather situation. One of the imp...Show More
Comparative Analysis of Different Approaches to Object Detection: A Survey
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Object detection has a pivotal role in the field of security. Often, a security breach occurs under cover of night when the visibility is reduced. Manual supervision is relatively difficult as visibility is drastically reduced and human error increases to a large extent. In recent times, automation in security has gained a lot of traction. There are various inventions made in the field of automate...Show More
Pedestrian Recognition and Rapid Ranging Method of Night Based on Monocular Vision
2019 Chinese Control And Decision Conference (CCDC)
Year: 2019 | Conference Paper |
In order to solve the problem that the traditional pedestrian recognition and ranging are not satisfactory, a monocular visual nighttime pedestrian recognition and fast ranging method suitable for vehicle infrared night vision images is proposed. Based on the non-contact thermal imaging principle of far-infrared night vision goggles and mathematical morphology method, an improved pedestrian detect...Show More
An Augmented-Reality night vision enhancement application for see-through glasses
2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
Year: 2015 | Conference Paper |
Cited by: Papers (6)
Nyctalopia, millions of people all over the world suffering from which, brings much trouble to the patients. The available night vision systems are poor in user experience but cost much. In this paper we design and implement an Augmented-Reality night vision enhancement application for see-through glasses. According to our model proposed for the night blindness, fast and efficient algorithms are u...Show More
Perceptual evaluation of color night vision image quality
2007 10th International Conference on Information Fusion
Year: 2007 | Conference Paper |
Cited by: Papers (1)
Color night vision techniques play a very important role in the night vision field. How to evaluate the perceptual quality of the color night vision image is a great need to assess the performance of algorithms in this technology. Currently, people usually judge the performance of color night vision techniques using subjective evaluation measures, which is time consuming and bothersome. This paper...Show More
Safe Production Mode of Tunnel Construction Under Complex Address Conditions based on Ant Colony Algorithm and Night Vision Imaging System
2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC)
Year: 2022 | Conference Paper |
This paper designs the basic architecture of the tunnel construction safety risk control system based on the ant colony algorithm, and designs an ant colony optimization algorithm embedded with local search technology, and guides the ants to perform a global search through the indicators in the heuristic information synthesis change, using lasers and polarization The integration of multiple techno...Show More
Night Vision Enhancement for License Plate Recognition based on Deep Learning
2022 IEEE International Conference on Industrial Technology (ICIT)
Year: 2022 | Conference Paper |
License plate recognition technology plays an important role in traffic management. It is widely used in parking, high-speed and road traffic management. The existing license plate recognition system is easy to be disturbed by the external environment, and the detection performance is poor in the night scene. This paper investigates the problem of license plate recognition in night vision scenario...Show More
The paper explains RF (Radio Frequency) based spying robot for wireless devices, it will help to investigate as per requirement. The proposed spying robot methodology it can be controlled by an application that is running on the android mobile can control the spying robot. In the proposed method uses esp 32 cam 3b, different types of the sensor for the investigation purpose. It does so by transmit...Show More
Research on Effects of Natural Factors in Battlefield on Microlight Detecting Distance
2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
Year: 2022 | Conference Paper |
The range of microlight detection is limited that restricts the combat effectiveness. In the paper, we have explained the basic principle of low-light-level night vision equipment. We have analyzed the influences of the spectral distribution curve of night sky light, the anti-radiation spectra of typical night vision and background and calculated atmospheric scattering. In order to improve the det...Show More
Collision Detection and Prevention for Automobiles using Machine Learning
2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies
Year: 2024 | Conference Paper |
In an effort to increase efficiency and safety, the automobile industry is undergoing a rapid transformation thanks to the integration of machine learning and artificial intelligence. In this study, computer vision and deep learning techniques are utilized to predict encounters between vehicles and pedestrians by analysing data captured by dash cam. Specifically, YOLO v8 is employed for detecting ...Show More
Nocturnal insects have the ability to neurally sum visual signals in space and time to be able to see under very low light conditions. This ability shown by nocturnal insects has inspired many researchers to develop a night vision algorithm, that is capable of significantly improving the quality and reliability of digital images captured under very low light conditions. This algorithm however when...Show More
Research on digital simulation for low-light-level night vision system
2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
Low-light-level (LLL) image simulation technology is an effective method to evaluate the performance of LLL night vision system. In order to evaluate the performance of the LLL night vision system, a method to simulate the performance of the LLL night vision system is presented based on analyzing the imaging principle of the LLL night vision system. The factors affecting LLL imaging including the ...Show More
Spectral Matching Properties between Avalanche Photodiodes and Typical Objects
2009 International Conference on Computer Engineering and Technology
Year: 2009 | Conference Paper |
Avalanche photodiode detector has come to more and more attention due to single photon detection sensitivity, low noise in night vision field. However, avalanche photodiodes (APD) made of different materials have different photon detection efficiency characteristics. The spectral matching factors were computed and analyzed based on the spectrums of night sky, Si APD & InGaAs APD and typical object...Show More
Design of Spy Robot with Wireless Night Vision Camera Using Android
Anil Kumar Bandani;Anupama Bollampally;Sri Sahithi;Revanth Naik;Naveen Kumar;Goutham
2023 International Conference for Advancement in Technology (ICONAT)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
The primary goal of this study is to create a robot that can monitor human activity by using wireless night vision cameras and Using an Android Bluetooth application, robots can be manually controlled. A night vision wireless camera built into the robot can send videos of people. This robot’s job is to go around and collect audio and video data from the environment it is in, then communicate that ...Show More
NPR: Nocturnal Place Recognition Using Nighttime Translation in Large-Scale Training Procedures
Bingxi Liu;Yujie Fu;Feng Lu;Jinqiang Cui;Yihong Wu;Hong Zhang
Visual Place Recognition (VPR) is a critical task within the fields of intelligent robotics and computer vision. It involves retrieving similar database images based on a query photo from an extensive collection of known images. In real-world applications, this task encounters challenges when dealing with extreme illumination changes caused by nighttime query images. However, a large-scale trainin...Show More
A Day and Night Vision MOS Imager With Robust Photonic-Crystal-Based RGB-and-IR
This paper demonstrates a day and night vision MOS imager with red, green, blue (RGB) and extra near-infrared filters placed over individual pixels. The on-chip RGB and IR filters are fabricated from an inorganic photonic crystal color filter (PCCF) technology, thereby realizing a robust and reliable camera module for indoor and outdoor use without mounting a mechanical IR-cut filter. These PCCFs ...Show More
Efficient pedestrian detection with enhanced object segmentation in far IR night vision
2017 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)
Year: 2017 | Conference Paper |
Cited by: Papers (10)
This paper presents a pedestrian detection system with enhanced object segmentation procedure working on a far infrared (FIR) video. To make the object detection more accurate on the FIR images, we propose an enhanced segmentation procedure with two thresholds and the region enlargement. This combination allowed a significant reduction of the region of interests (ROIs) for further processing. Expe...Show More
Review of human detection techniques in night vision
Sonu Kumar Sharma;Radhika Agrawal;Snehil Srivastava;Dushyant Kumar Singh
2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)
Year: 2017 | Conference Paper |
Cited by: Papers (8)
Human detection has always been a challenge in many automations of computer vision area. This problem gains more importance when the scene involving human detection is of night time. Surveillance is one such application which has a very serious requirement of night vision mechanism. An automated system for human detection in night vision could be a helping hand to surveillance at any sensitive loc...Show More
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