Emerging Technologies

Innovations and advancements at the cutting edge of science and engineering, showing significant potential to transform industries and society. Emerging technologies include areas like artificial intelligence, quantum computing, blockchain, and biotechnology, offering new solutions and opportunities for the future. They drive innovation and often bring about profound changes in various sectors, from healthcare and finance to energy and transportation.

google glass help blind people
Emerging Technologies

Drishti for blind with Google Glass

We are leaving in technology disruption age and every business and individual is taking advantages of that. But still, there are millions of people among us who are lacking to use this technology changes. Those are blind people. What benefits technology has given to them till now? well not much. Why? may be difficulties in creating and finding technologies for them? or small market? or could be lack of inspiration to make some difference in these people’s lives – we don’t know the answer. But here we are putting a concept which can help blind people to see (hear) things and navigate their way. Project “Drishti” is a concept right now and presented here for awareness and possible future development in future. Drishti is a Sanskrit word meaning “sight” Google Glass help the blind navigate the world Google launched its Glass project with the before few years, and there has been much buzz about what the platform can do. But while Glass applications mostly add an augmented-reality visual layer of data

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traffic-control-using-UAV
Emerging Technologies

Traffic Control using UAV

The management of ever-increasing traffic volumes and congestion levels is one of the most critical challenges faced by modern human society. This problem further magnifies, particularly at urban intersections. There are only limited viable options available for the expansion of existing infrastructure. It has become critical to monitor and analyze the state of traffic flow at urban and suburban intersections. However, this requires an accurate, dynamic, and quick inflow of traffic data. The collection of detailed traffic data with traditional equipment, like manual counters, induction loops, fixed video camera systems, etc., is an expensive and difficult process as it either requires a  large amount of installed sensors/equipment or a high number of deployed staff in order to cover the entire network. Such data cannot be used to estimate the densities, as well as other more complex traffic flow phenomenon, such as the process of accumulation and dissipation of queues at the intersections. It is not practically possible to cover the entire network with fixed sensors or deployed

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