There are many benefits of using image processing to identify educations. This helps the person to gain knowledge in the field of medicine beyond formal education. By taking pictures of packaging sheets, regardless of educational background, one may quickly identify medications using a straightforward image-based interface. The described method yields fast and precise results while drastically reducing the amount of time spent looking for information. Moreover, the system’s integration of speech output capabilities guarantees that users receive audio-based information regarding the detected medicine, irrespective of their reading level or visual disability. This proposed method uses Neural Networks which takes images as input and process it to find critical features which will help to classify the images to their respective categories. The proposed article has an accuracy of 96.22%. The utilization of image processing in drug identification not only guarantees dependability and precision but also makes a substantial contribution to the promotion of knowledgeable and easily accessible healthcare practices.

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CNN-Driven Voice Guidance: Image Based Medicine Recognition

  • Ravi Kishan Surapaneni,
  • Jadam Aruna Bharathi,
  • Durgempudi Divya

摘要

There are many benefits of using image processing to identify educations. This helps the person to gain knowledge in the field of medicine beyond formal education. By taking pictures of packaging sheets, regardless of educational background, one may quickly identify medications using a straightforward image-based interface. The described method yields fast and precise results while drastically reducing the amount of time spent looking for information. Moreover, the system’s integration of speech output capabilities guarantees that users receive audio-based information regarding the detected medicine, irrespective of their reading level or visual disability. This proposed method uses Neural Networks which takes images as input and process it to find critical features which will help to classify the images to their respective categories. The proposed article has an accuracy of 96.22%. The utilization of image processing in drug identification not only guarantees dependability and precision but also makes a substantial contribution to the promotion of knowledgeable and easily accessible healthcare practices.