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Water Improves Sustainable Energy Efficiency

In a surprise twist, applying thin, nanoscale layers of water to existing material may be the latest solution to efficient storage and distribution of energy, according to leading researchers at the North Carolina State University. This ground-breaking discovery has exciting implications for future development into improving products that rely on sustainable energy.

the layered material charged more efficiently during shorter charging periods

Pseudocapacitance has been around for decades, but recent comparisons between the charging capabilities of crystalline tungsten oxide and crystalline tungsten oxide hydrate have revealed exciting findings. The regular material (crystalline tungsten oxide) performed better when charged for 10 minutes, whereas the layered material performed better when charged for a mere 12 seconds. In other words, the layered material charged more efficiently during shorter charging periods.

The lead author of the paper and Ph.D. student at NCSU, James Mitchell, explains that “the goal for many energy storage researchers is to create technologies that have the high energy density of batteries and the high power of capacitors.” Mitchell believes that their findings could help develop technologies to make this possible.

How Water Can Change Energy Efficiency

A graphic showing water and renewable energy for efficiency.

This exciting new discovery has gained a lot of attention – and for good reason. Society has become increasingly focused on the development of sustainable clean energy and efficient energy use. Yet, an inability to adequately compete with our current energy systems have prevented these attempts from becoming popular amongst the public. Though their work is at experimental stages, this has huge implications for future development of our personal electronics.

Optimizing Clean Energy

Faster storage creates an opportunity for flexible and reliable grid systems for sustainable energy, as well as better batteries and upgraded electronic devices. These are all important steps for improving current methods and products promoted by clean-energy users.

The importance of this discovery is evident in the amount of competition arising amongst the sustainable energy field. The findings of Mitchell and his colleagues provides a bold glance at an energy-efficient method that could encourage the optimization of cleaner energy sources.

 

AI to Take Control of Traffic Lights

Artificial Intelligence Traffic Lights: The Next Step in Traffic Management

Smart traffic lights powered by Artificial Intelligence (AI) will soon be monitoring roads. In Milton Keynes, a city in the United Kingdom, these ‘smart junctions’ are expected to react intelligently and ease heavy congestion, especially during the rush hour this area is famous for, reports said.

The bold switch to AI traffic lights cost the city roughly £3 million. The ground breaking technology was programmed to prioritize ambulances, buses, cyclists and create safer roads. In addition, the new streetlights will be using “heat maps” to analyze data on how pedestrians and drivers are behaving on the road.

Vivacity Labs, an urban mobility company, has received the green light to commence installing 2,500 cameras into traffic lights around the city. The sensors will be monitoring major junction points and car parking spaces. The initiative should be fully operational by September 2018.

Milton Keynes Gets AI Traffic Lights

According to reports, Milton Keynes is the first in a larger and wider intelligent traffic management system. The use of AI will prevent bottlenecks and improve safety because the sensors will react to traffic situations as they happen.

the Milton Keynes system “lays the groundwork for the smart city of the future

“There is very limited intelligence to the current management of urban roads. By introducing AI into the camera itself, Vivacity Labs has created a system that accurately identifies and reports road usage, removing the need for cumbersome manual interpretation and significantly reducing the potential for human error,” the company’s Chief Technology Officer, Yang Lu, was quoted in an interview.

The official also made the bold pronouncement that the Milton Keynes system “lays the groundwork for the smart city of the future; using data flows to guide driverless vehicles to their destination with minimal congestion.” Incidentally, Milton Keynes also happens to be one of UK’s testbeds for autonomous vehicles.

The system’s thousands of eyes and sensors can also be linked to current traffic management systems so that vulnerable road users such as cyclists will be kept safe at stop signs. The system can also direct traffic away from congested areas or choke points as well as inform drivers in case there are road hazards along the way.

This development, once implemented, will be a welcome respite to motorists braving the daily gridlock at Milton Keynes. Although small, this innovation is seen as the next big thing in traffic management. Similar projects are being developed and tested in other parts of the world to make way for driverless vehicles and flying drone taxis. Finally, transportation is no longer at a standstill.

China Bets Big on Face Detection

China, one of the richest and most innovative countries on Earth is unleashing the power of face detection. It is made possible partly because of their huge centralized database of ID card photos, allowing them to experiment with new measures like the process of face detection. But, it is also a result of the leap in high-tech development that has taken place over the past decade in China. Once an inexpensive manufacturing hub, they are becoming a high tech leader.

Face Detection, or facial recognition as it is often known in the United States, is a case in point. Offering both convenience and surveillance, the technology of face detection has been launched in China in a big way. Face ++, which is the leading Chinese company in this field.

Infographic detailing China facial recognition technology on smartphonesFace ++ is valued at roughly one billion dollars and is rapidly growing. The company uses the face detection system in their own building for security. Employees and others who have been added to the company database have automatic access to the building, without the need for more intrusive protocols. This is a largely a proof of concept for Face++ and a demonstration that the system is robust and reliable.

Shiliang Zhang, an Assistant Professor at Peking University, said “the face recognition market is huge”. She specializes in image processing and machine learning. Zhang added that “in China, security is very important, and we also have lots of people”.

According to Face++, their technology is already incorporated in several applications such as:

  • Lenovo – This computer manufacturing company turned to Face ++ because of its reliable biometric identification solutions. With the video call application, users simply smile in front of their computers or mobile devices, and automatically log into their accounts.
  • Didi – This is the parent company of Uber China. With facial recognition services by Face ++ the ride-sharing company succeeded in building a safe and easy riding experience for both drivers and riders.
  • Camera 360 – This application is a popular filter and editing app. With the high-precision face detection of Face ++, the application can allow users to edit their selfies with many effects.
  • Alipay – The online payment platform was founded in China and is affiliated with Alibaba. With new face detection technology based on Face ++, users can reset a missing password using facial recognition.
  • Meitu – A well-known photo editing application producer has cooperated with Face ++. In using MeituKiss, a smartphone, users can take pictures and apply fixes like makeup after the fact.
  • Jiayuan – The biggest dating website in China used the advanced face searching technology provided by Face ++.

Facial detection has been around for decades, but until recently it was not accurate enough for financial transactions. That changed with better sensors, databases, and deep learning.

the face recognition market is huge

Deep Learning is an artificial intelligence method that identifies objects and deciphers speech in real time. The software mimics the activity in layers of neurons in the neocortex, which is the wrinkly 80 percent of the human brain where thinking happens. Deep Learning can process in a real sense. It recognizes patterns in digital representations of images, sounds, and other data.

Facial Detection Goes International

Companies worldwide are trying to get their hands on the technology, which has become a hot item for businesses. Baidu, China’s most well-known search engine, is creating a system that lets users pick up rail tickets by means of face detection. Now, the search engine giant is working with the Wuzhen Government, a historic town that has been turned into a tourist destination with museums, providing access to many of its attractions without asking for tickets.

Jie Tang, an Associate Professor at Tsinghua University, said “the convenience of the technology is what appeals to most people in China”.

According to Aindra Systems, there are other countries that also use the technology of face detection such as:

  1. USA – New Jersey and New York are the first states to utilize facial recognition software to bust illegal drivers at the Department of Motor Vehicles.
  2. India – In Bangalore, LabourNet Services has adopted SmartAttendance, which is a mobile-based face recognition solution, to assure that beneficiaries and staff attend classes and/or workshops.
  3. Indonesia – Face recognition spots faces of church visitors from CCTV footage or photos to identify churchgoers and check attendance numbers. It then alerts the program officials of the church if members stop coming to services. This practice is also being done in the USA, Portugal, Africa, and India.
  4. China – Researchers introduced an ATM with built-in facial recognition software in order to reduce the risk of illegal withdrawals.
  5. Europe – Agencies were given the authority to identify individuals using facial recognition in ‘near’ real time.
  6. Thailand – The country uses facial recognition to identify people from group images.

China has started a move to revolutionize face detection with Face ++. The bold innovation that face detection brings to the table may open doors for other inventions, which could help society in different ways. The market for face recognition is huge and businesses that capture key sectors early on stand to gain huge returns.

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