Title :
Research of digital meter identifier based on DSP and neural network
Author :
Zhao, Limeng ; Zhang, Yunzhou ; Bai, Qiushi ; Qi, Zixin ; Zhang, Xintong
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
Based on image recognition and wireless short-range transmission, we designed and implemented a kind of equipment to identify the value of several digital domestic instruments such as kilowatt-hour meter and gas meter. CMOS image sensor is used to form focused image of the meter reading. Then, the digital image is processed by a high-performance DSP processor with advanced neural network algorithm. The identification result is specific numbers and is sent to the concentrator through the short-range wireless ZigBee communications. The equipment can effectively release the workers from entering residential buildings and avoid many troubles.
Keywords :
CMOS image sensors; automatic meter reading; computerised instrumentation; digital signal processing chips; image recognition; neural nets; radiocommunication; CMOS image sensor; digital domestic instruments; digital meter identifier; high-performance DSP processor; image recognition; neural network; wireless short-range transmission; CMOS image sensors; Digital images; Digital signal processing; Focusing; Image recognition; Instruments; Meter reading; Neural networks; Wireless communication; Wireless sensor networks; CMOS image sensor; DSP; ZigBee communication; digital meter identification; neural network;
Conference_Titel :
Imaging Systems and Techniques, 2009. IST '09. IEEE International Workshop on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-3482-4
Electronic_ISBN :
978-1-4244-3483-1
DOI :
10.1109/IST.2009.5071675
