Automatic Meter Reading using Deep Learning

Laboratory instruments are commonly equipped with communication interfaces (e.g., GPIB, USB or LAN port) for data acquisition or control through a computer. However, such interface might not be available on handheld equipment, e.g., multi-meters, where readings have to be taken manually by operators during calibration. To improve efficiency and reduce possible human errors, SCL has developed an automatic meter reading system for seven segment displays using deep learning techniques.

Designing Automatic Meter Reading System Using Open Source Hardware and Software

The importance of quality of the measured values is very dependent on the device that measures these values: the size of the sample, the time of measurement, periods of measurement, the mobility and the robustness of the device, etc. Contemporary devices intended for the measurement of physical quantities that are on the market vary in price, as well as and the quality of the measured values. The rule "the more expensive the better" is not necessarily always a rule that is valid because it all depends on the characteristics and capabilities of the device, and the customer’s needs. In this paper, a device based on "Open Source" components of hardware and software will be presented. Device was used to measure voltages and currents on low voltage networks, on which a virtually unlimited number of sensors can be added, and the device is assembled of components available on electronic components Internet.

Remote Automatic Meter Reading System

In order to satisfy the development of the cities and the requirements of modern factories, the network of water has been changing the pattern of the city quickly. It is possible to use automatic meter reading technology to read the data of the meters which were only read by human manual to solve the resource supply pipe network monitoring problem as the 2G/3G technology development. We designed a remote wireless automatic meter reading device to achieve the actual needs of users. STM32 works well as the core control devices to satisfy the requirements, combined with surveillance cameras and 3G wireless module to complete the hardware circuit design, which includes STM32 control circuit, sensor data acquisition part, 3G wireless module interface section, the analog video signal processing section and so on. The software was designed according to the users needs, the test results show that the device satisfies the requirements and could be used in the resource monitoring directly.