This paper proposes the design and implementation of object counting algorithm based on image processingby using Raspberry pi on real time basis. Features of an image containing objects to be detected are extracted uses amethod called BLOB (Binary Large Object) analysis. This method is used so as to identify the objects/regions calledBLOBs using pixel connectivity and further more parameters like area, centroid, and number of BLOBs available in thetest image. Preprocessing of the input test image is done prior to the BLOB analysis like thresholding to get a binaryimage. The number of objects identified is displayed or read out using a speaker interfaced to the hardware. Thehardware Raspberry Pi, running with UBUNTU operating system flashed into a memory card, works as a standalonedevice with the Raspberry Pi camera being used as an image acquisition device to constantly capture image frames ofobjects of interest.
Keywords
BLOB analysis
object counting
Raspberry Pi.
Authors
S.Sinthya
T.Ashifa
How to Cite this Article
S.Sinthya, T.Ashifa (2018).
"STUDY ON REAL TIME OBJECT COUNTING USING RASPBERRY PI".
International Journal of Contemporary Research in Computer Science and Technology,
4(1), pp. 53-56.
