Compared to a CPU or GPU system, an embedded vision system must offer equivalent performance at a fraction of the power and die area.
Embedded vision applications are highly optimized heterogeneous systems, which means they have processing units that are optimized for their specific task: a scalar unit for control, a vector unit for pixel processing, and a dedicated CNN (convolutional neural networks) engine for executing deep learning networks.
These units, specifically optimized for embedded vision applications, provide excellent performance for the smallest area and power. When evaluating software frameworks for the final vision application, requirements around availability, bit resolution, graph mapping tools, and optimization options for hardware should be taken into consideration.
Source: As Embedded Vision Takes Off, Software Frameworks Bear Watching | IoT & M2M
While protocols battle for supremacy, one well-established wireless communications standard has been working its way into a comprehensive ecosystem to offer a reliable, multi-vendor accessible, infrastructure for the smart home.
Ultra Low Energy (ULE) uses Digital Enhanced Cordless Telecommunications (DECT), the standard for wireless phones, to connect wireless sensors and actuators in a network for a low energy smart home. The DECT ULE wireless communication standard connects wireless sensors and actuators in domestic settings.
It is promoted by the ULE Alliance, based in Switzerland, but has silicon and node suppliers around the world. At CES 2017, the ULE Alliance showcased its ULE technology, with multiple vendor demonstrations in its Smart Home.
DECT is an established technology for audio services. Since 1993 when it was defined by the European Telecommunications Standards Institute (ETSI), it has been used in wireless telephones in over 600 million households in over 100 countries around the world.
DECT devices can plug into the Internet and are controlled by a DECT handset, making it one of the simplest networks to install.
Source: Conventional DECT Technology Is an Option for the Smart Home | Smart Energy
Bluetooth is an established standard driven by the Bluetooth Special Interest Group (SIG) and is today’s leading connectivity technology in terms of volume shipments and installed base.
It is one of the fastest-growing wireless technologies according to ABI Research. Before Bluetooth 4.0, devices connecting to phones or computers had mostly been limited to audio headsets or human interface devices (HIDs) (mice, keyboards and other applications) using Classic Bluetooth for streaming audio or transferring large packet sizes at a high data rate.
The primary limitation for Classic Bluetooth was its comparatively high-power consumption, which made it limited for low-power applications using coin cells or other batteries.
Source: Bluetooth 5 Expands into the Smart Grid | Wireless
With a current average of 250k monetary transactions every day, the Bitcoin ledger has grown to 130GB since inception in 2009 and is expected to carry on growing at a rate greater than 50GB per year.
The process of “mining” new blocks, once affordable by a personal computer, has become so demanding in computational resources and energy because of the monetary creation regulation mechanism that only a small number of computer pools (less than 10 in the world, mostly in China) now own 50% of the capacity, hence the trust of the Bitcoin currency.
Source: Why Blockchain May Not Reach Beyond the IP Gateway in IoT Security | Embedded Intel® Solutions
With the proliferation of NFC (Near Field Communications) reader technology and rich graphical displays in today’s smartphones, combined with the open developer ecosystem of iOS and Android-based applications, the use of NFC technology has stretched beyond its original tap-to-pay intention.
The LPC8N04 MCU enables developers to quickly implement broad-based solutions that leverage system diagnostics or environmental conditions for a smarter tagging experience. With the added benefit of flexible communication modes, solutions now also enable the ability to push data to an LPC8N04 MCU-based edge-node, for example in device provisioning, configuration or customization.
Source: NXP Integrates NFC Technology into LPC800 Series Microcontrollers Revolutionizing Smart Tagging in IoT Applications | Wireless
One of the industrial sectors that most aggressively seeks customer behavior is the automotive industry.
“The feedback is invaluable for automotive companies. Automakers get to see how customers are using their vehicles. That feedback is the holy grail for physical product companies,” said Steve Chalgren.
“Before, you had to do surveys from warranty cards. Then they’d go to maintenance records to see if customers are driving the car hard.”
For the design team, data on how customers use the product can go right into the design of the next generation of the product. “It’s amazing how the feedback informs the product development process. It takes the guesswork out. In the past, you talked with customers to get feedback after the fact. But that’s like a crime scene where everything is remembered inaccurately,” said Chalgren.
“Now you can see whether people are actually using a particular feature. It becomes this virtuous cycle of product information.”
Source: Using Customer IoT Data to Improve Products | Design News
While individual robots are wearing more sensors, the number of robots entering the market is also increasing.
“The growth in sensors is reflective of the robotics market expansion,” said Michael Sullivan. “Lower-cost sensors are entering in, and that’s producing a higher density of sensors.”
The sensors used on robots are connected in different ways, both wired and wireless. The growth in IoT systems in industrial settings has increased the ease and decreased cost of deploying sensors in robots.
“The sensors inside the robots are wired, while the exteroceptive sensors require wireless connections,” said Sullivan. “The wireless segment is driven by IoT. That has really taking off compared to the market for wired sensors.”
Source: Global Robot Sensor Market to Expand 50% by 2022 | Design News
With Intel projecting IoT products growing to 2000 billion devices by 2020 – just three years from now – the talk of IoT-everything is running high. We’re hearing about connected watches and a multitude of medical devices.
But recent surveys show that the industrial applications of IoT are now growing faster.
Source: The Varied Power of the Industrial IoT | Design News
Ben Smeets and his team at Ericsson Research have proposed a new way of looking at digital Ids they call “ID Brokering.” “[With ID Brokering] identity is not the credential itself.
It is the description of the link between the identifier and its credential,” Smeets said. If you use Google, Facebook, or any other single sign on service you’ve seen the convenience of having one login to access multiple services. It’s great for humans, but not so much for devices, Smeet said.
What’s more, there’s only one level of security – if someone gains access to one system they have implicit access to every system by virtue of the single login.
A glaring issue like this is what allows cyberattacks like the 2016 Mirai malware attack, which targeted and hijacked IoT devices, to happen.
If devices only need one level of verification to access a network, then who’s to believe they aren’t doing what they’re supposed to if their credentials check out?
Source: How Blockchain is the Key to a Secure IoT | Design News
The ecosystem for self-driving cars has numerous layers.
It encompasses not just the machine-learning that operates the vehicles, but also the array of sensor and navigation technology needed, from refinements to the advanced braking or lane-keeping assistance common in today’s vehicles, advances in more granular and adaptive mapping, and vehicle-to-vehicle and vehicle-to-infrastructure communications systems.
Because lives and safety are at stake, autonomous vehicles require a high degree of reliability and need to adapt to widely diverse contexts.
Source: Gauging investment in self-driving cars