Title :
Non-destructive quality evaluation in spice industry with specific reference To Cuminum cyminum L (cumin) seeds
Author :
Jain, Kavindra R. ; Modi, Chintan K. ; Pithadiya, Kunal J.
Author_Institution :
Electron. & Commun. Eng. Dept., G.H. Patel Coll. of Eng. & Technol., Vallabh Vidyanagar, India
Abstract :
The Indian spice industry by and large is primitive yet. Screen cleaner and dust removing are the only operations which are being done alone in the industry. Quality assessment of spices is a very big challenge since time immemorial. In addition to inherent and hygienic features quality depends on its physical appearance, moisture content, composition which may be reflected by taste and smell too. Human sensory panel generally assess quality and such process is time consuming, unreliable and non reproducible. There is a need for some non invasive quality testing methodologies. This paper proposes a new method for counting the number of Cuminum cyminum L (cumin seeds) with long pedestals as well as foreign elements using machine vision non destructive technique based on combined measurements.
Keywords :
computer vision; food processing industry; nondestructive testing; quality control; Cuminum cyminum L seeds; Indian spice industry; cumin seeds; dust removing; human sensory panel; machine vision non destructive technique; moisture content; non invasive quality testing methodology; nondestructive quality evaluation; physical appearance; quality assessment; screen cleaner; Consumer electronics; Digital cameras; Electronics industry; Food industry; Humans; Image processing; Industrial electronics; Machine vision; Quality assessment; Quality control; Cuminum cyminum L (Cumin Seeds); ISEF edge detection; Machine Vision; Quality control; combined measurements;
Conference_Titel :
Innovative Technologies in Intelligent Systems and Industrial Applications, 2009. CITISIA 2009
Conference_Location :
Monash
Print_ISBN :
978-1-4244-2886-1
Electronic_ISBN :
978-1-4244-2887-8
DOI :
10.1109/CITISIA.2009.5224191