Real-Time Image Processing using Flutter and Tflite Packages

Authors

  • Akash Student, Department of Computer Science & Engineering, ASET, Amity University Haryana, Gurugram, India Author
  • Deepanshu Thakran Student, Department of Computer Science & Engineering, ASET, Amity University Haryana, Gurugram, India Author
  • Rashmi Gupta Assistant Professor, Department of Computer Science & Engineering ASET, Amity University Haryana, Gurugram, India Author

Keywords:

Object detection, Image classification, Pose estimation, Real-time image processing, Image processing, tflite, tensorflow lite, Flutter

Abstract

In today’s world, the application available  in the field of real time image processing are slow, provide  results about a limited set of objects in a frame, and is not  easily usable by people of all age groups. The nature of  visual based knowledge is far better than anything else, if a  person wishes to know about an object, or to remember an  object, the best way is to first see how the object looks, and  vice-versa, if you know how the object looks and feels, and  you know what it is called, it would be best describable.  Applications like Google lens are already prevalent in the  market, but only available for android, which leaves rest of  the OS users in vain, creating a market space for the  untouched. Features like pose estimation can be inculcated  through different software to yield AI based solutions to  serve different purposes. Object detection and image  classification can not only provide you information about  the object, but in today’s connected world, can lead you to  different sources of knowledge for the same, be it a link to  buy the object, or a thesis about it or some facts about it.

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References

Wang, M. X. (2019, February 11). Research on image classification model based on deep convolution neural network | EURASIP Journal on Image and Video Processing | Full text. Retrieved from springeropen.com: https://jivp

eurasipjournals.springeropen.com/arti cles/10.1186/s13640- 019-0417-8

Zhao, Z.-Q., Zheng, P., Xu, S.-T., & Wu, X. (2019, January 28). Object Detection With Deep Learning: A Review | IEEE Journals & Magazine | IEEE Xplore. Retrieved from ieeexplore.ieee.org: https://ieeexplore.ieee.org/document /8627998

Raj, B., & Osin, Y. (2019, June). An Overview of Human Pose Estimation with Deep Learning | KDnuggets. Retrieved from KDnuggets.com: https://www.kdnuggets.com/2019/06 /human-pose-estimation-deep- learning.html

https://www.tensorflow.org/lite

https://flutter.dev/

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Published

2021-09-30

How to Cite

Real-Time Image Processing using Flutter and Tflite Packages . (2021). International Journal of Innovative Research in Computer Science & Technology, 9(5), 38–40. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/11314