The model identifies the 8 different medical waste objects includes syringe, blooded cotton, vial, IV tubes etc. The training is done using YOLO v2 on 1500+ images.
It is every individual’s desire to have their home as well as vicinity clean and tidy. It creates a fresh aura in the surroundings which enables a healthy and hygienic of living. People dump all types of garbage including medical waste anywhere in the city without proper segregation, which is not environment friendly. However, this illegal dumping can also include hazardous waste which poses a big threat to the surroundings, such as introducing health issues. Our system proposes the method to detect the medical waste using object detection model YOLOv2. This System is user friendly and implicit in nature. It will improve the detection and sorting of the medical waste easily. The system generates appropriate responses relative to the input waste there by making it interactive and efficient. The camera captures image of the object to be thrown, if it is not a medical waste then the system will notify the end user by ringing alarm in max 3 sec. Because the system suggests that the dustbin is specifically meant for medical waste.
1. Statistics of Objects onsidered for training :
SYRINGE: 591
SALINE: 311
BANDAGE: 808
VIAL: 458
GLOVES: 276
IV-TUBE: 274
MASK: 99
COTTON: 367
SURGICAL-GOWN: 2
Dataset size: 1541
Dataset of 1541 instance(s)
2. Training statistics:
Learning rate : 1e-05
Batch size : 16
Epoch number : 500
Backup every : 2000
Source | Train | Layer description | (?, 416, 416, 3)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 416, 416, 16)
Load | Yep! | maxp 2x2p0_2 | (?, 208, 208, 16)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 208, 208, 32)
Load | Yep! | maxp 2x2p0_2 | (?, 104, 104, 32)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 104, 104, 64)
Load | Yep! | maxp 2x2p0_2 | (?, 52, 52, 64)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 52, 52, 128)
Load | Yep! | maxp 2x2p0_2 | (?, 26, 26, 128)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 26, 26, 256)
Load | Yep! | maxp 2x2p0_2 | (?, 13, 13, 256)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 13, 13, 512)
Load | Yep! | maxp 2x2p0_1 | (?, 13, 13, 512)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 13, 13, 1024)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 13, 13, 1024)
Init | Yep! | conv 1x1p0_1 linear | (?, 13, 13, 70)
-------+--------+----------------------------------+---------------
step 1 - loss 119.55308532714844 - moving ave loss 119.55308532714844
step 2 - loss 117.88551330566406 - moving ave loss 119.386328125
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Finish 42 epoch(es)
step 3148 - loss 4.436044216156006 - moving ave loss 3.734053412779501
step 3149 - loss 2.905003547668457 - moving ave loss 3.651148426268397
- [1] Joseph Redmon, Ali Farhadi, “YOLOv3: An Increamental Improvement” Published by University of Washington(March, 2018)
- [2] Akshay Dabholkar, Bhushan Muthiyan, “Smart Illegal Dumping Detection” Published by IEEE(June,2017)
- [3] Praveen Mathur, Sangeeta Pata and Anand S. Shobhawat, “Need of Biomedical Waste Management Systems in Hospitals – An Emerging Issue – A review” Published by CEET(2008)
- [4] Govt. of India, Ministry of Environment and Forests Gazette notification No 460 dated July 27, New Delhi: 1998: 10-20
- [5] Rahele Tabasi, Govindan Marthandan, “Clinical Waste Management: A Review on Important Factors in Clinical Waste Generation Rate” Published by International Journal of Science and Technology(IJST) (2013)
- [6] Shobhit Khandare, Sunil Badak, Yugandhara Sawant, Sadiya Solkar, “Object Detection based Garbage Collection Robot(E-Swachh)” Published by International Research Journal of Engineering and Technology(IRJET)(March, 2018)
- Manjunath C Bagewadi
- Email : [email protected]
- Ph: 9742896702
- Linked In : linkedin.com/in/manjunath-bagewadi-9325ab55