Abstract
This paper describes a novel method for mobile-vibration-based crop inspection to visualize differences in dynamics between vibrating crops and objects pixel by pixel with vision-based FFT analysis. High-frame-rate video analysis was conducted for (1) multiple fans and (2) rice grains and husks on a vibrating sieve, and they were verified by enhancing the differences in dynamics between multiple objects even when their appearances are too similar to distinguish each other in a single image.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Techradar Homepage. http://www.techradar.com/news/sony-made-a-smartphone-camera-sensor-that-shoots-1000fps-video. Accessed 12 Dec 2017
Phonearena.com Homepage. https://www.phonearena.com/news/Top-5-best-smartphones-for-slow-motion-video-recording_id79058. Accessed 13 Dec 2017
Cooley JW, Tukey JW (1965) An algorithm for the machine computation of the complex Fourier series. Math Comput 19:297–301
Chandra R, Menon R, Dagum L, Kohr D, Maydan D, McDonald J (2000) Parallel programming in OpenMP. Morgan Kaufmann
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Shimasaki, K., Raut, S., Jiang, M., Takaki, T., Ishii, I. (2019). High-Frame-Rate Video Analysis for Mobile-Vibration-Based Crop Inspection. In: Saha, S., Ravi, M. (eds) Rural Technology Development and Delivery. Design Science and Innovation. Springer, Singapore. https://doi.org/10.1007/978-981-13-6435-8_10
Download citation
DOI: https://doi.org/10.1007/978-981-13-6435-8_10
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6434-1
Online ISBN: 978-981-13-6435-8
eBook Packages: EngineeringEngineering (R0)