In this paper, we propose non-invasive method to detect glaucoma eye disease at earlier stage from aqueous humor (AH) fluid’s biomagnetic signal in anterior chamber of eye. The AH fluid has biomagnetic emission because of magnetic material such as sodium, potassium, chloride, bicarbonate and protein. At present, diagnosis of glaucoma has done at later stage because of undetectable micro variation in fundus image cup to disc size ratio measurement and because of similar symptoms in glaucoma eye and vision problem. In proposed method, glaucoma detect through acquisition of AH fluid biomagnetic signal from eye through Giant Magnetoresistance Magnetometers (GMR) sensor. The biomagnetic signal of AH fluid’s dynamic and static variation in eye analyze with Rational Dilation Wavelet Transform (RADWT) algorithm. The variations of AH fluid obtain through beta-blocker eye drops. From experiment, AH fluid’s biomagnetic signal shows variations for the rate of dissipation of fluid in eye such as normal, glaucoma eye, with and without eye drops. The AH biomagnetic signal correlates glaucoma disease with signal variance and RADWT sub band energy for 50 glaucoma and 10 normal eye. The proposed method detect glaucoma eye in the early stage of 90.

Human abnormal activities detection in video surveillance is the most attractive topic of computer vision. In automated video surveillance systems, the human ac