Abstract
The Bio-Medical Waste (BMW) segregation is an essential domain of bioremediation. The manual segregation of medical waste leads to acute and chronic infections. The proposal to design the machine aided segregation is focused in this work. The aggregate of medical waste comprises of metallic substances, plastics, organic and decomposable substances and cotton material. The initiation to differentiate these composite substances are handled using varied sensor modules such as: ultrasonic sensor, voltage sensor, moisture sensor, inductive proximity sensor and glass sensor. The design and performance of these sensors are validated using SPICE-MULTISIM software. The simulated output from different sensors are interfaced to the virtual robotic arm designed using 3DS MAX software. The angle of deflection and distance between the container and collector are modulated in accordance to the rotation per minute of accelerometer/servo meter in three different functions of the intelligent arm model. The color sensor detects the arm for disposal of sensed BMW in respective collector waste bins. The operating range of sensors are fixed to be Vin = 1–9 V; Inductance (L) = 0.1mH; Resistor (R) = 100 Ω–10 KΩ; Capacitance (C) = 100 nF–10 μF. The pick and place model of the smart arm into prescribed color bins reduces manual intervention and prevents the spread of infections.
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