AI-Powered Biomedical Waste Classification

Revolutionizing healthcare waste management with advanced deep learning technology for safer hospitals and communities

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5.2M
Deaths annually from BMW exposure
<50%
BMW segregated at source in India
619
Tons of BMW generated daily in India
<20%
Healthcare workers with proper training

The Critical Problem

Biomedical waste management in India faces unprecedented challenges that endanger millions of lives

Health Crisis

Every year, approximately 5.2 million people die from exposure to biomedical waste, including 4 million children. Contaminated syringes alone cause 23 million infections worldwide.

Poor Segregation

Less than 50% of biomedical waste is segregated at its source in India. When waste isn't properly segregated, 75-90% of non-hazardous waste becomes contaminated and dangerous.

Lack of Training

Under 20% of healthcare workers in India receive proper BMW management training - one of the lowest rates globally. This leads to improper handling and increased contamination risks.

Manual Limitations

Current manual segregation methods are prone to human error, inconsistent application, and pose direct exposure risks to healthcare workers and sanitation staff.

India's BMW Guidelines 2016

Government-mandated four-color segregation system for proper biomedical waste management

Yellow Bin

Human Anatomical Waste

Tissues, organs, body parts below viability period

Soiled Waste

Blood-contaminated dressings, cotton swabs, plaster casts

Expired Medicine

Pharmaceutical waste, cytotoxic drugs, contaminated vials

Red Bin

Disposable Items

Tubing, bottles, IV sets, catheters, urine bags

Syringes (No Needles)

Syringes without needles, needle-cut syringes

Gloves & Vaccutainers

Used gloves, blood collection tubes

White Bin

Sharp Objects

Needles, syringes with fixed needles, scalpels

Metal Sharps

Blades, contaminated sharp metal objects

Puncture Hazards

Any contaminated sharp that may cause cuts

Blue Bin

Broken Glass

Contaminated and discarded glass materials

Medicine Vials

Glass vials and ampoules (non-cytotoxic)

Laboratory Glass

Glass equipment from medical laboratories

Our AI Solution

BMW Classifier uses advanced deep learning with modified ResNet50 architecture to achieve 97.99% accuracy in biomedical waste classification

Instant Classification

Simply capture or upload an image and get immediate waste category identification

97.99% Accuracy

State-of-the-art deep learning model trained specifically for Indian BMW guidelines

Classification History

Track and analyze your waste classification patterns with detailed statistics

Mobile-First Design

User-friendly interface designed for healthcare professionals on the go

Download BMW Classifier

Join the revolution in biomedical waste management. Download our app and start making healthcare safer today.

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Download for iOS
Need help? Check out the Installation Guide and Usage Manual below!

Installation Guide

Step-by-step instructions to install the app on your Android device, including handling security settings and permissions.

View Installation Guide

Usage Manual

Learn how to use the app effectively - from taking perfect photos to understanding classification results and reporting errors.

View Usage Manual