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Face Recognition-Based Automatic Hospital Admission With SMS Alerts

When the person met with an accident is brought to the hospital, there are many official formalities before the treatment can start (e.g., admission form to be filled). In some severe cases, these formalities can delay the treatment, which could be fatal to the patient. The automated system which can fill these forms with the help of face recognition could severely cut down the delays. But, in some cases, the injury and the blood on to the face fail facial recognition. To overcome this problem, we have proposed a facial vector-based algorithm. In the current work, we have also demonstrated, sending the SMS to the concerned authorities (police) and even to the relatives of the patient automatically using GSM modules. The patient's information was received from centralized databases of different hospitals that are linked through the internet. We have tested the proof-of-concept with 12 patients and found out that the accuracy of the system was about 92%. Automated filling improved hospital admission and helped in treatment because of the medical history was auto-filled even in the case of an unconscious patient.