Perception of the lane boundaries is crucial for the tasks related to autonomous trajectory control. In this paper, several methodologies for lane detection are discussed with an experimental illustration: Hough transformation, Blob analysis, and Bird's eye view. Following the abstraction of lane marks from the boundary, the next approach is applying a control law based on the perception to control steering and speed control. In the following, a comparative analysis is made between an open-loop response, PID control, and a neural network control law through graphical statistics. To get the perception of the surrounding a wireless streaming camera connected to Raspberry Pi is used. After pre-processing the signal received by the camera the output is sent back to the Raspberry Pi that processes the input and communicates the control to the motors through Arduino via serial communication.

Food demand and sustainability to feed the growing population are explained clearly. The technological innovations including 4.0 industry revolution strengthen the agricultural sector. The usage of computer vision and artificial intelligence in the field of agriculture and food industry is deeply elaborated. Emerging technologies such as computer vision and Artificial Intelligence (AI) are estimated to leverage the accessibility of big data for active training and yielding operational real time smart machines and predictable models. This phenomenon of applying vision and learning methods for the improvement of food industry is termed as computer vision and AI driven food industry.

The big deal at the moment is who will lead in development of artificial intelligence. A very savvy and very well considered article by Daniel Araya (PhD) in Forbes magazine clearly explains the many players and issues in the current artificial intelligence race. Araya points out that America's politically driven socioeconomics are significantly out of step with the realities of the inevitable future artificial intelligence driven economies and physical realities. America's heavily weighted military-industrial complex and other priorities, for example, create a planning diaspora which is almost the exact opposite of China's efficient and relentless planning model. Facebook's open-source'Big Sur' artificial intelligence/machine learning server Artificial intelligence is probably the single biggest new technology in history.

You will soon be able to instantly identify people using a futuristic facial recognition app on your smartphone. The app scans faces and brings up a profile with information about the person including links to their social media profiles. The augmented reality technology, from London-based firm Blippar, can recognise over 400,000 public figures and has a more than 99 per cent accuracy rate. It can even tell apart identical twins such as American actresses the Olsen twins, British Olympic runners the Brownlee Brothers and Irish pop duo Jedward. Blippar's augmented reality technology (pictured) can recognise over 400,000 public figures and has a more than 99 per cent accuracy rate.

The food and agriculture chain is one of the most promising industries where the Internet of Things (IoT) can bring about transformational changes. And this transformation includes building smart farm machines to manage crops at the plant level. To that end, John Deere Labs, which opened its doors earlier this year, made its first major deal on September 6, spending $305 million to acquire Blue River Technology, a startup with computer vision and machine learning technology that can identify weeds–making it possible to spray herbicides only where they're needed. Currently, on a global basis, $25 billion is spent each year on about 3.0 billion pounds of herbicides. This has resulted in over 250 species of weeds now considered resistant to herbicides.

Evan Nisselson is a partner at LDV Capital. Major technology companies and new startups are at war over having the most valuable artificial intelligence and at the core of this war is having unique high quality visual data. This battle will be won by owning the connected camera. The majority of the data our brains analyze is visual, and therefore the majority of the data needed for artificial intelligence to have human (or better than human) skills, will rely on the ability for computers to translate high quality visual data. One of the business sectors that will be revolutionized by artificial intelligence is e-commerce.

Major technology companies and new startups are at war over having the most valuable artificial intelligence and at the core of this war is having unique high quality visual data. This battle will be won by owning the connected camera. The majority of the data our brains analyze is visual, and therefore the majority of the data needed for artificial intelligence to have human (or better than human) skills, will rely on the ability for computers to translate high quality visual data. One of the business sectors that will be revolutionized by artificial intelligence is e-commerce. The Amazon's Echo Look is a smart stake in the ground for Amazon.