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Title: :  Detection and Identification Pills
PaperId: :  21944
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 6 2023
DUI:    16.0415/IJARIIE-21944
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Muthal Amruta BalasahebHSBPVT's FOE Kashti
Bodakhe Sakshi Rajesh HSBPVT's FOE Kashti
Bhosale Sakshi sanjayHSBPVT's FOE Kashti
Borkar Rohan RamdasHSBPVT's FOE Kashti
Sayyed Jasmine IsahakHSBPVT's FOE Kashti

Abstract

Computer Engineering
Pills Detection, Deep Learning, Data Augmentation, Computer Vision, Convolutional Neural Networks, Dataset Creation, Image Recognition, Multiclass Classification, Image Segmentation, Accuracy Evaluation,deep learning, Mask R-CNN, pill detection, data augmentation, object region, object class
Accurate pill detection and identification are vital for patient safety. Environmental factors can introduce variations in pill attributes like color, size, and shape, leading to medication errors. In this study, we propose a robust system using Keras and TensorFlow for rapid and precise pill identification. Object detection locates pills in images and links them to a comprehensive database, allowing for accurate pill name recognition. Pre-trained datasets facilitate efficient pill recognition and provide detailed information. We collect datasets for automated medicine detection, and experimental results validate the method's effectiveness. We address the challenge of pill identification, focusing on performance improvement with limited training data. Multiple pills in a single image can lead to exponential combinations, which we tackle through innovative database expansion. Our approach outperforms existing algorithms, reducing human errors during pill inspection. We pioneer multi-pill detection in real-world settings, introducing a multi-pill image dataset. To handle hard cases, we incorporate inter-pill relationships and achieve robust results, outperforming benchmarks. Our approach enhances patient safety through AI-based pill identification, with potential applications for optional pill use and age-based dosage adjustments.

Citations

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IJARIIE Muthal Amruta Balasaheb, Bodakhe Sakshi Rajesh , Bhosale Sakshi sanjay, Borkar Rohan Ramdas, and Sayyed Jasmine Isahak. "Detection and Identification Pills" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 6 2023 Page 242-247
MLA Muthal Amruta Balasaheb, Bodakhe Sakshi Rajesh , Bhosale Sakshi sanjay, Borkar Rohan Ramdas, and Sayyed Jasmine Isahak. "Detection and Identification Pills." International Journal Of Advance Research And Innovative Ideas In Education 9.6(2023) : 242-247.
APA Muthal Amruta Balasaheb, Bodakhe Sakshi Rajesh , Bhosale Sakshi sanjay, Borkar Rohan Ramdas, & Sayyed Jasmine Isahak. (2023). Detection and Identification Pills. International Journal Of Advance Research And Innovative Ideas In Education, 9(6), 242-247.
Chicago Muthal Amruta Balasaheb, Bodakhe Sakshi Rajesh , Bhosale Sakshi sanjay, Borkar Rohan Ramdas, and Sayyed Jasmine Isahak. "Detection and Identification Pills." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 6 (2023) : 242-247.
Oxford Muthal Amruta Balasaheb, Bodakhe Sakshi Rajesh , Bhosale Sakshi sanjay, Borkar Rohan Ramdas, and Sayyed Jasmine Isahak. 'Detection and Identification Pills', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 6, 2023, p. 242-247. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Detection_and_Identification_Pills_ijariie21944.pdf (Accessed : ).
Harvard Muthal Amruta Balasaheb, Bodakhe Sakshi Rajesh , Bhosale Sakshi sanjay, Borkar Rohan Ramdas, and Sayyed Jasmine Isahak. (2023) 'Detection and Identification Pills', International Journal Of Advance Research And Innovative Ideas In Education, 9(6), pp. 242-247IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Detection_and_Identification_Pills_ijariie21944.pdf (Accessed : )
IEEE Muthal Amruta Balasaheb, Bodakhe Sakshi Rajesh , Bhosale Sakshi sanjay, Borkar Rohan Ramdas, and Sayyed Jasmine Isahak, "Detection and Identification Pills," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 6, pp. 242-247, Nov-Dec 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Detection_and_Identification_Pills_ijariie21944.pdf [Accessed : ].
Turabian Muthal Amruta Balasaheb, Bodakhe Sakshi Rajesh , Bhosale Sakshi sanjay, Borkar Rohan Ramdas, and Sayyed Jasmine Isahak. "Detection and Identification Pills." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 6 ().
Vancouver Muthal Amruta Balasaheb, Bodakhe Sakshi Rajesh , Bhosale Sakshi sanjay, Borkar Rohan Ramdas, and Sayyed Jasmine Isahak. Detection and Identification Pills. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(6) : 242-247. Available from: https://ijariie.com/AdminUploadPdf/Detection_and_Identification_Pills_ijariie21944.pdf
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