An Automatic Pointer Meter Reading Method based on Deep Learning in Gas Gathering Station
نویسندگان
چکیده
منابع مشابه
An Automatic Lip-reading Method Based on Polynomial Fitting
This paper addresses the problem of speaker-dependent isolate digits recognition using sole visual information. We employ intensity transformation and spatial filter to estimate the minimum enclosing rectangle of mouth in each frame. Thus, for each utterance, we can obtain two vectors composed of width and height of mouth, respectively. Then, we propose an approach to recognize the speech based...
متن کاملFault-tolerant ZigBee-based Automatic Meter Reading Infrastructure
Due to low cost, low-power, and scalability, ZigBee is considered an efficient wireless AMR infrastructure. However, these characteristics of ZigBee can make the devices more vulnerable to unexpected error environments. In this paper, a fault-tolerant wireless AMR network (FWAMR) is proposed, which is designed to improve the robustness of the conventional ZigBee-based AMR systems by coping well...
متن کاملWireless Automatic Water-meter Reading System
Wireless automatic meter reading (AMR) system based on a fixed radio network brings many advantages when compared to other meter reading techniques. After an introduction to the state of the art of AMR systems in general, and particularly of water meter reading system, a wireless automatic water-meter reading system founded on ZigBee technology is presented. Set forth in the text are main chara...
متن کاملAuto-recognition Method for Pointer-type Meter Based on Binocular Vision
This paper presents an auto-recognition method for pointer-type meter based on computer vision. Two calibrated cameras are located in the right and left sides of the meter to capture the meter displayed images. In each displayed image, the fast Hough transform method is used to locate the approximate pointer area and then the least squares fitting method is used to determine the precise line th...
متن کاملAn Automatic Ship Detection Method Based on Local Gray-Level Gathering Characteristics in SAR Imagery
This paper proposes an automatic ship detection method based on gray-level gathering characteristics of synthetic aperture radar (SAR) imagery. The method does not require any prior knowledge about ships and background observation. It uses a novel local gray-level gathering degree (LGGD) to characterize the spatial intensity distribution of SAR image, and then an adaptive-like LGGD thresholding...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOP Conference Series: Earth and Environmental Science
سال: 2021
ISSN: 1755-1307,1755-1315
DOI: 10.1088/1755-1315/793/1/012002