2020
Manufacturing/​Robotics/​Automation

Why "smart traffic light"? This is because the operation of existing traffic lights requires electricity, a separate control panel and a lot of technical equipment. You also need a permit to install regular traffic lights.

Due to these problems,

Problem
Neurodegenerative dementia is a disease that progressively deteriorates brain functionality. One of the most common symptoms of dementia is memory loss. In addition, patients usually lose the ability to solve problems or control their emotions and present changes in personality and normal behavior.

Government mandates regarding COVID-19 abatement strategies are forcing companies to scramble to find ways to avoid fines and even worse local outbreaks. In this new age, documentation and data is going to separate companies who survive and those who struggle.

It has always been so. Massive portions of bread are baked - loaves, and then they are cut into pieces to eat them.

Machine learning and PID controller allow us to control an autonomous car to drive around an object.

How does it work?

The Mosquito Eradicating Robot aims at eradication of deadly diseases like Malaria, Dengue and viruses like Zika virus by capturing and eradicating the agents of these diseases. The agents of these diseases and viruses are Mosquitoes.

One out of three people in the world is exposed to earthquakes,

Current technologies for additive manufacturing (3D printing) are mostly developed for on-earth environment which relies on the gravitational force, and any vibration/disturbance must be minimized. However, in many situations, e.g., on space missions where gravity is close to zero,

Agriculture is the primary source of livelihood for about 58 percent of India’s population. Gross Value Added by agriculture, forestry, and fishing is estimated at Rs 18.55 lakh crore in FY19. 1/5TH of the total agricultural output is lost due to inefficiencies in harvesting, transport,

Accurate load forecasting plays a key role in economical use of energy. Artificial Neural Network (ANN) models have been extensively implemented to produce accurate results for short-term load forecasting with time lead ranging from an hour to a week.

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