• More than 200 Clinical trials conducted to validate the readings of the device.
• Patient identification using QR code using an App.
• Use of machine-learning based algorithm to classify pupillary reaction as brisk or sluggish.
• Storage/ Maintenance of patient data on the cloud.
• Analysis based on the patient’s historical data to determine the recovery process of the patient.