The production technology of Citrus in China is still at the initial stage development, and classification mainly depends on manual work, which subjective inefficient. To solve problem time-consuming, laborious low efficiency citrus classification, this paper uses OpenCV image processing technology, Candy edge detection operator for DP algorithm contour extraction to find two points with larges...

This paper deals with the design and implementation of a building automation and security system which facilitates a healthy, flexible, comfortable and a secure environment to the residents. The design incorporates a SIRC (Sony Infrared Remote Control) protocol based infrared remote controller for the wireless operation and control of electrical appliances. Alternatively, the appliances are mon...

System in this paper is designed and implemented with Visual C++ software with Intel's OpenCV video stream processing system to realize the real-time automatic vehicle detection and vehicle counting. Expressways, highways and roads are getting overcrowded due to increase in number of vehicles. Vehicle detection, tracking, classification and counting is very important for military, civilian and ...

The ERTS electric golf cart serves as a platform for experimental research in autonomous robotics. The system has both GPS capability as well as a laser scanning system to aid the cart in navigation. In this article we detail our efforts in adding a stereo vision system to the cart to provide visual object detection to guide navigation. We make extensive use of the Open Source Computer Vision (...

Object recognition using the OpenCV Haar cascade-classifier on the iOS platform Staffan Reinius Augmented reality (AR), the compiling of layered computer-generated information to real-time stream data, has recently become a buzzword in the mobile application communities, as real-time vision computing has become more and more feasible. Hardware advances have allowed numerous such utility and gam...

Recently, deploying machine learning methods and deep models to create an artificial intelligence system has gained huge interest. Several technologies, such as embedded GPU, ARM multicore processors, visual processor units VPUs, tensor TPUs, Field programmable arrays FPGAs, have been developed for this purpose. These processors accelerators fitted on different edge boards single computer SBCs....

Detecting the driver's drowsiness in a consistent and confident manner is difficult job because it necessitates careful observation of facial behaviour such as eye-closure, blinking, yawning. It's much more to deal with when they're wearing sunglasses or scarf, seen data collection for this competition. A drowsy person makes variety gestures, quick repetitive shaking their heads, yawning often....

Audiovisual speech processing has reached a stage of maturity where there are now numerous computational procedures needed to measure and assess multimodal signals. However, as is often the case, the results of these procedures are better known than the procedures themselves. This paper presents a MATLAB toolbox consisting of an extensive collection of tools we have developed over the past 10 y...

The guided filter is a technique for edge-aware image filtering. Because of its nice visual quality, fast speed, and ease of implementation, the guided filter has witnessed various applications in real products, such as image editing apps in phones and stereo reconstruction, and has been included in official MATLAB and OpenCV. In this note, we remind that the guided filter can be simply sped up...

In this System counting of people is done with the help of computer vision. The reason behind this is that computer vision is the field which is concerned with the automated processing of images from the real world to extract and interpret information on a real time basis. The image data can take many forms. For example views from multiple cameras, multidimensional data from medical scanner etc...