The latest generation of Ford’s communications and entertainment system is set to make its South African debut this year when the high-tech new Sync 3 is launched on the Ford Kuga, Mustang, Ranger and Everest.
Ford Sync already enables drivers of 15-million vehicles worldwide to voice-activate essential in-car features, greatly improving ease of access to numerous phone and multimedia functions. The system has also made a significant contribution to driving safety, enabling drivers to remain focused on the road while accessing the vast range of available communication and multimedia features.
“Sync3 brings to life even more innovative new ways of staying connected on the move,” says Tracey Delate, General Manager, Marketing – Ford Motor Company Sub-Saharan Africa Region. “Designed to complement modern smartphones, with an intuitive touch screen and an exciting array of new features, Sync3 understands even more conversational speech commands, is significantly faster and offers a higher resolution interface that is simpler, and easier to read and use than the outgoing Sync2 system.”
For the third-generation system, Ford has drawn on more than 22 000 comments and insights gained from research clinics and surveys to ensure the new version is the most customer-centric designed system to date, and is a convincing successor to Sync 2. Sync 1 will remain a core entry-level audio system for selected Ford models and will continue to offer Bluetooth with Voice Activation and extensive mobile and multimedia device integration.
Simplifying the user experience by putting the audio and phone options customers use most at their fingertips, Sync 3 has been further improved through increased processing power and a reduction in the number of steps required for a command.
With pinch-to-zoom and swipe gestures, Sync 3 provides customers with a high definition experience of the eight-inch touch screen that is similar to smartphone screens, thus making it easier and more intuitive to use.
Smartphone integration has been stepped up with several fantastic new features, including Apple CarPlay, which allows iPhone users to make phone calls, access music, send and receive text messages, and get directions optimised for traffic conditions via voice control while the drivers’ eyes stay focused on the road. The system is also compatible with Siri Eyes Free which allows for easy access to Siri with iPhones connected via Bluetooth.
Android users will be able to activate Android Auto, which makes the platform’s apps and services such as Google Search, Google Maps and Google Play Music accessible in a safe and seamless manner through Sync3.
Additionally, using Ford’s built-in voice control, the driver can access all the suites of services available through Apple CarPlay and Android Auto simply by using voice commands
To keep the system up to date, periodic over-the-air software updates for Sync3 can be downloaded via Wi-Fi, once it is set up on a trusted wireless network.
“The fantastic new features and functionality launched with Sync3 makes it one of the most comprehensive and easy to use in-car communication and entertainment systems of its kind,” Delate says.
“Some of the licenses for Apple CarPlay and Android Auto are still being finalised for official release in the collective Middle East and Africa region, and therefore will be introduced as they become available in market.”
There will be a progressive roll-out of Sync 3 for the 2017 model year across the relevant nameplates – either as a standard feature on selected derivatives, or as an option.
For the first time in South Africa, navigation will also be offered with Sync3 from early 2017, either as standard equipment, or as an optional extra, depending on applicable model range and derivative. This feature will be introduced in phases across selected Ford models in 2017.
Notably for South African customers, the language choices for Sync 3 navigation comprise English, Zulu and Afrikaans.
Project Bloodhound saved
The British project to break the world landspeed record at a site in the Northern Cape has been saved by a new backer, after it went into bankruptcy proceedings in October.
Two weeks ago, and two months after entering voluntary administration, the Bloodhound Programme Limited announced it was shutting down. This week it announced that its assets, including the Bloodhound Supersonic Car (SSC), had been acquired by an enthusiastic – and wealthy – supporter.
“We are absolutely delighted that on Monday 17th December, the business and assets were bought, allowing the Project to continue,” the team said in a statement.
“The acquisition was made by Yorkshire-based entrepreneur Ian Warhurst. Ian is a mechanical engineer by training, with a strong background in managing a highly successful business in the automotive engineering sector, so he will bring a lot of expertise to the Project.”
Warhurst and his family, says the team, have been enthusiastic Bloodhound supporters for many years, and this inspired his new involvement with the Project.
“I am delighted to have been able to safeguard the business and assets preventing the project breakup,” he said. “I know how important it is to inspire young people about science, technology, engineering and maths, and I want to ensure Bloodhound can continue doing that into the future.
“It’s clear how much this unique British project means to people and I have been overwhelmed by the messages of thanks I have received in the last few days.”
The record attempt was due to be made late next year at Hakskeen Pan in the Kalahari Desert, where retired pilot Andy Green planned to beat the 1228km/h land-speed record he set in the United States in 1997. The target is for Bloodhound to become the first car to reach 1000mph (1610km/h). A track 19km long and 500 metres wide has been prepared, with members of the local community hired to clear 16 000 tons of rock and stone to smooth the surface.
The team said in its announcement this week: “Although it has been a frustrating few months for Bloodhound, we are thrilled that Ian has saved Bloodhound SSC from closure for the country and the many supporters around the world who have been inspired by the Project. We now have a lot of planning to do for 2019 and beyond.”
Motor Racing meets Machine Learning
The futuristic car technology of tomorrow is being built today in both racing cars and
toys, writes ARTHUR GOLDSTUCK
The car of tomorrow, most of us imagine, is being built by the great automobile manufacturers of the world. More and more, however, we are seeing information technology companies joining the race to power the autonomous vehicle future.
Last year, chip-maker Intel paid $15.3-billion to acquire Israeli company Mobileye, a leader in computer vision for autonomous driving technology. Google’s autonomous taxi division, Waymo, has been valued at $45-billion.
Now there’s a new name to add to the roster of technology giants driving the future.
Amazon Web Services, the world’s biggest cloud computing service and a subsidiary of Amazon.com, last month unveiled a scale model autonomous racing car for developers to build new artificial intelligence applications. Almost in the same breath, at its annual re:Invent conference in Las Vegas, it showcased the work being done with machine learning in Formula 1 racing.
AWS DeepRacer is a 1/18th scale fully autonomous race car, designed to incorporate the features and behaviour of a full-sized vehicle. It boasts all-wheel drive, monster truck tires, an HD video camera, and on-board computing power. In short, everything a kid would want of a self-driving toy car.
But then, it also adds everything a developer would need to make the car autonomous in ways that, for now, can only be imagined. It uses a new form of machine learning (ML), the technology that allows computer systems to improve their functions progressively as they receive feedback from their activities. ML is at the heart of artificial intelligence (AI), and will be core to autonomous, self-driving vehicles.
AWS has taken ML a step further, with an approach called reinforcement learning. This allows for quicker development of ML models and applications, and DeepRacer is designed to allow developers to experiment with and hone their skill in this area. It is built on top of another AWS platform, called Amazon SageMaker, which enables developers and data scientists to build, train, and deploy machine learning quickly and easily.
Along with DeepRacer, AWS also announced the DeepRacer League, the world’s first global autonomous racing league, open to anyone who orders the scale model from AWS.
As if to prove that DeepRacer is not just a quirky entry into the world of motor racing, AWS also showcased the work it is doing with the Formula One Group. Ross Brawn, Formula 1’s managing director of Motor Sports, joined AWS CEO Andy Jassy during the keynote address at the re:Invent conference, to demonstrate how motor racing meets machine learning.
“More than a million data points a second are transmitted between car and team during a Formula 1 race,” he said. “From this data, we can make predictions about what we expect to happen in a wheel-to-wheel situation, overtaking advantage, and pit stop advantage. ML can help us apply a proper analysis of a situation, and also bring it to fans.
“Formula 1 is a complete team contest. If you look at a video of tyre-changing in a pit stop – it takes 1.6 seconds to change four wheels and tyres – blink and you will miss it. Imagine the training that goes into it? It’s also a contest of innovative minds.”
Formula 1 racing has more than 500 million global fans and generated $1.8 billion in revenue in 2017. As a result, there are massive demands on performance, analysis and information.
During a race, up to 120 sensors on each car generate up to 3GB of data and 1 500 data points – every second. It is impossible to analyse this data on the fly without an ML platform like Amazon SageMaker. It has a further advantage: the data scientists are able to incorporate 65 years of historical race data to compare performance, make predictions, and provide insights into the teams’ and drivers’ split-second decisions and strategies.
This means Formula 1 can pinpoint how a driver is performing and whether or not drivers have pushed themselves over the limit.
“By leveraging Amazon SageMaker and AWS’s machine-learning services, we are able to deliver these powerful insights and predictions to fans in real time,” said Pete Samara, director of innovation and digital technology at Formula 1.