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Bangalore, India

Forus Health | Date: 2013-12-12

The present disclosure relates to method and apparatus for image recovery and image correction. In an embodiment, the present disclosure relates to recovering images that are occluded due to some material in the optical path while capturing the images. The detection of noisy region is performed by taking the residual image between the images yielded by large sized and small sized Gaussian window smoothening filters on red, green and blue channels. The recovery of the image that alleviates the noise is obtained by point-wise multiplication of the above said residue image with a suitably synthesized Gaussian distributed co-efficient of same size.

Forus Health | Date: 2012-08-23

The embodiments herein provide a system and method for detecting and capturing a focused image. The system comprises of an image capturing unit, edge detection unit and a focusing unit. The image capturing unit obtains plurality of images sequentially. The edge detection unit identifies region of interest in each of the obtained images and calculates edge strength value for the identified regions. The edge detection unit determines peak edge value from the edge strength values. The edge strength value quantifies degree of focus in the identified region. If the identified region is more focused, the number of edges is relatively more when compared with out-of-focus region. The peak edge value indicates that the identified region is well focused. The focusing unit causes the image capturing unit to capture focused image when the edge strength value reaches a predefined value of the peak edge value.

Non-tactile and non-evasive tonometer utilizing air flow with a definite amount of pressure to the eye and a mechanism to deflate the thin foil set that is placed near to eye ball such that re-bounded air hits on it. The mechanism involves acquiring or capturing then the images of the known pattern marking on thin foils both before and after deflating process due to rebounded air. On evaluating the deformation of the pattern appearing in the images obtained before and after air flow and calibrating the deformation with respect to size, translation, rotation and scaling parameters due the different pressure level that hits the eye ball and that rebounds on to thin foils, we arrive at a scheme of measuring the intraocular pressure of human eye. This intraocular pressure is used as a parameter for the ophthalmologist to diagnose glaucoma impairment of human beings.

Forus Health | Date: 2012-09-11

The present disclosure relates to image filtering techniques for enhancing image quality. In one embodiment, two filtering techniques are applied on an image. Firstly, an adaptive weighted median filtering operation is performed on an acquired low contrast image corrupted by impulsive noise. Subsequently, a guided image filtering on the image obtained from adaptive weighted median filtering operation to de-blur and enhance the contrast that ultimately assures to preserve the edges of the images. In addition, the image filtering for enhancing image quality is enhanced by several variations of data adaptive guided image filtering and adaptive window sizes for guided image filtering techniques.

News Article | September 25, 2015
Site: www.washingtonpost.com

Silicon Valley often hosts world leaders, but rarely gives them the rock-star reception that it is planning for India prime minister Narendra Modi.  Seats for an 18,500-person event where he will be speaking, at the SAP Center in San Jose, disappeared within days, and tens of thousands more could have sold. The Indian community is abuzz with more excitement than when Bollywood troupes visit. Companies such as Google, Facebook, and Tesla are rolling out the red carpet. The euphoria arises partly because Indians here are still optimistic that Modi will transform India — after decades of economic stagnation under socialist governments. But his greater appeal to the tech community is due to his being one of the world’s few truly tech-savvy leaders. He has mastered social media and has more than 15 million followers on Twitter — second only to President Obama among world leaders.  And Modi has declared his intent to build a Digital India: a knowledge economy that delivers key government services electronically; all parts of the country are all connected with high-speed Internet networks; and the populace is digitally literate. Considering that India has already become the largest growth market for smartphones and will, by the end of this decade, add more than 500 million Internet users, it is not surprising that the CEOs of Microsoft, Google, Facebook, and Adobe are lining up to meet with Modi. They need to ensure that there be no regulatory roadblocks in India, which will have a market twice as large as the U.S. market.  But my hope is that it goes beyond the star power and that Modi gets to see the can-do attitude of Silicon Valley’s entrepreneurs. They are using exponentially advancing technologies such as sensors, artificial intelligence, robotics, medicine and 3D printing to change the world, and these technologies can also help transform India and uplift its population. Here are some examples of what is possible for India — and what Modi needs to support: Smart cities: Modi has talked a lot about smart cities, but what he refers to are cleaner and more efficient cities — not what we talk about in Silicon Valley. Using the advances in sensors, for example, it is possible to build technologically connected cities that monitor things such as traffic patterns, air quality, noise, radiation levels and water quality. These sensors can manage pollution, waste, parking, traffic congestion, security, and almost every other aspect of a city’s functioning. The cities won’t cost billions of dollars, as the original smart cities did that Middle East countries tried to build, but millions of dollars. Indian entrepreneurs can start building smart neighborhoods and then scale these up to the city level. Sharing economy: Uber showed Indian entrepreneurs that app-based ride-sharing was practical even in India’s chaotic cities.  But Uber targeted elite, high-end customers and got many things wrong. The bigger opportunities are to share rides in three-wheelers, bicycle rickshaws, and buses. Technology can also facilitate hiring of workers in the informal economy — laborers, technicians, maids, and painters — and tractor-sharing on farms; jhuggi rentals; bike-sharing; and seed swaps. Indian entrepreneurs are trying to build their own versions of these technologies; but they will need the government to streamline cumbersome regulations. Health apps, devices, and genomics: Medical devices as accurate as those that western hospitals use are now possible by connecting inexpensive sensors to smartphones and tablets. A few Indian start-ups have already created better and more practical technology than I have seen in Silicon Valley. Forus Health, for example, has developed a portable eye-screening device, called 3nethra, that can detect eye pathologies such as cataract, diabetic retinopathy, and cornea-related problems. Health Cubed has built inexpensive powerful medical devices that are in use on 2.5 million people in north India to measure blood pressure, blood sugar, heart rate, blood hemoglobin, and urine protein and to diagnose diseases such as HIV AIDS, syphilis, dengue, and malaria. MapMyGenome analyzes genome data to provide insights into the genetic bases of various aspects of individuals’ health, including traits, lifestyle, drug responses, inherited conditions, and diseases. Combining these technologies with telemedicine will enable hundreds of millions of villagers in India to receive timely and affordable health care. Education: No matter how hard it tries, India’s government will not be able to fix its public schools in time to educate the more than 100 million children in towns and villages that are without adequate educational facilities. The only solution lies in technology. The inexpensive smartphones that Indians are now buying can also be used for education: there are thousands of applications available today that can teach subjects such as history, geography, music, mathematics, and science. Indian entrepreneurs need to build versions of them in local languages and create adaptive educational technologies that tailor the learning path to the needs of the student. Government needs to revise its curriculum and work hand in hand with entrepreneurs to offer digital education as a backup to the failing schools. Agriculture: Technology is opening up possibilities for dramatically transforming India’s highly inefficient farms.  Sensors can be used to monitor soil humidity and optimize watering; aquaculture can be optimized with on-farm diagnostic technologies; dairy and farm production can be automated through CRM-like systems.  These can be connected to the smartphones that the farmers already have, and can also provide them with education and support. Turning children into innovators: Schoolchildren in Silicon Valley have the opportunity to play with 3D printers, robot-building kits, and sensor components. These printers and kits are not expensive. Providing every village with these will enable children to build robots that automate manufacturing, to design innovative new consumer products and to customize 3D designs for global consumers. Children can develop sensor-based systems for diverse industries, smart-city technologies, and new home-monitoring and -automation systems. Yes, children in villages can now build these technologies — and they will learn them faster than adults do. My hope is that Modi will take back with him a grand vision of the future; an understanding of what has become possible.  His challenge is to inspire Indian entrepreneurs to achieve to the same degree as their kin in Silicon Valley—who have risen to the top ranks of its technology companies and now start 16 percent of its new businesses.

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