Real time car theft decline system using ARM processor

Author(s):  
P. Bagavathy ◽  
R. Dhaya ◽  
T. Devakumar
Keyword(s):  
2013 ◽  
Vol 303-306 ◽  
pp. 621-626 ◽  
Author(s):  
Hui Ping Li ◽  
Wei Wang ◽  
Fu Chang Ma ◽  
Hong Le Liu ◽  
Tao Lv

Design a real-time hydrological monitoring system. Using the ARM processor and video server combination of methods, realize the characteristic features of the next place machine extraction, and then through the GPRS connect PC . Also have the power supply, low power consumption, anti-interference characteristics. The system use Wince programming, to obtain the binary image, using morphological algorithm to remove useless characteristic features, then carries on the edge refinement, use the hough transform to extract the straight line equation of water level and the bank line to compute, can get out the distance between the two in the image, according to the actual coordinate can get the actual distance. The experimental results show that the system has a real time and efficiency, effectiveness, and other characteristics, get a good recognition effect.


2015 ◽  
Vol 734 ◽  
pp. 291-294
Author(s):  
Zhen Peng Liu ◽  
Dan Lin

To realize RTX, a 32-bit ARM processor platform and Keil was used to provide a graphical interface. Through real-time task allocation and Keil provided by TCP/IP interface, an embedded ultrasonic welding control system was realized. The ultrasonic welding control system designed for the testing of software and hardware, and by comparison with field work, proved that the application of multitasking can obviously improve the welding effect through welding control system, friendly man-machine interface, convenient communication and monitoring.


Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1834 ◽  
Author(s):  
Javier Pérez Fernández ◽  
Manuel Alcázar Vargas ◽  
Juan M. Velasco García ◽  
Juan A. Cabrera Carrillo ◽  
Juan J. Castillo Aguilar

The development of new control algorithms in vehicles requires high economic resources, mainly due to the use of generic real-time instrumentation and control systems. In this work, we proposed a low-cost electronic control unit (ECU) that could be used for both development and implementation. The proposed electronic system used a hybrid system on chip (SoC) between a field-programmable gate array (FPGA) and an Advanced RISC (reduced instruction set computer) Machine (ARM) processor that allowed the execution of parallel tasks, fulfilling the real-time requirements that vehicle controls demand. Another feature of the proposed electronic system was the recording of measured data, allowing the performance of the implemented algorithm to be evaluated. All this was achieved by using modular programming that, without the need for a real-time operating system, executed the different tasks to be performed, exploiting the parallelism offered by the FPGA as well as the dual core of the ARM processor. This methodology facilitates the transition between the designing, testing, and implementation stages in the vehicle. In addition, our system is programmed with a single binary file that integrates the code of all processors as well as the hardware description of the FPGA, which speeds up the updating process. In order to validate and demonstrate the performance of the proposed electronic system as a tool for the development and implementation of control algorithms in vehicles, a series of tests was carried out on a test bench. Different traction control system (TCS) algorithms were implemented and the results were compared.


2021 ◽  
Vol 49 (4) ◽  
pp. 1025-1034
Author(s):  
Vo Cong

Field-programmable gate arrays (FPGAs) and, recently, System on Chip (SoC) devices have been applied in a wide area of applications due to their flexibility for real-time implementations, increasing the processing capability on hardware as well as the speed of processing information in real-time. The most important applications based on FPGA/SoC devices are focused on signal/image processing, Internet of Things (IoT) technology, artificial intelligence (AI) algorithms, energy systems applications, automatic control and industrial applications. This paper develops a robot arm controller based on a programmable System-OnChip (SoC) device that combines the high-performance and flexibility of a CPU and the processing power of an FPGA. The CPU consists of a dual-core ARM processor that handles algorithm calculations, motion planning and manages communication and data manipulation. FPGA is mainly used to generate signals to control servo and read the feedback signals from encoders. Data from the ARM processor is transferred to the programmable logic side via the AXI protocol. This combination delivers superior parallel-processing and computing power, real-time performance and versatile connectivity. Additionally, having the complete controller on a single chip allows the hardware design to be simpler, more reliable, and less expensive.


2013 ◽  
Vol 662 ◽  
pp. 860-863
Author(s):  
Wei Xiang

The occurrence of disasters is inevitable. To facilitate the rescue effectively, rescuers need to clearly understand the situation of a disaster site. This paper presents a design scheme of embedded information acquisition and transmission system for disaster rescue based on ARM processor (S3C2440), which is able to collect and transfer video, audio information and even vital sign of the survivors amongst the ruins. In this system, ARM processor which acts as the central data acquisition system is used as the control system that manages the acquisition and transmission devices connected to it. It has the characteristics of rapidity, real-time, portability, high accuracy etc.


2012 ◽  
Author(s):  
J. A. Fernandez-Gallego ◽  
J. P. Yañez-Puentes ◽  
B. Ortiz-Jaramillo ◽  
J. Alvarez ◽  
S. A. Orjuela-Vargas ◽  
...  

2013 ◽  
Vol 475-476 ◽  
pp. 209-213
Author(s):  
Hong Fang ◽  
Lin Cai Deng

This paper describes a embedded system,using ARM processor LPC2148 as the core of hardware,and using MQ series gas sensor as the detection component,and using ENC28J60 as the network communication interface,and using uc / OS-II real-time operating system as software platform for the real-time remote monitoring of density of harmful gases indoor.In this system,voltage signals from MQ sensor will be processed by the ARM micro-controller and be displayed in the LCD.Then they will be compared with the set voltage value.If they are greater than the set value,sound and light alarm will be touched off,and data will be transfered to the network through the ARM ENC28J6 network interface.Above all,the system is able to achieve accurate detection, alarm and remote monitoring indoor dangerous gases.


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