Algorithms for Intrusion Detection and Defense Systems Against Cyber Threats in Embedded Devices - StoryNovember 17, 2021
With the exponential rise in the popularity of embedded systems due to their compact size and efficient performance, the security of embedded systems has become a major concern.
With the development of 4G LTE networks along with the ramping up of 5G and Ethernet services, the industries are compelled to enhance the RAN transport and access architectures.
Overcoming the shortcomings of the current ethernet-based industrial networks, the CC-Link IE TSN, “Opens the Future of Connected Industries” by adding the advantages of Time-Sensitive Networking along with flexible implementation for various types of equipment.
Despite the precision in sensor technology, there is always a shortcoming associated with the performance of monitoring systems.
Apart from lengthy and expensive operational research, factory production can meet its optimal targets by thorough analysis and monitoring of the overall system. Additionally, production workflow is efficient when machinery works at its maximum efficiency without faulty intervals or anomalies.
With developments in embedded technology, numerous high-efficiency MCUs have evolved. As the features and capabilities offered by various microcontrollers increase, their power requirements also increase. Therefore, to design energy-efficient and compact applications using embedded systems, the power consumption of microcontrollers has to be reduced.
Voice Recognition Enhances the HMI functions for Hardware to Support Real-Time Contactless Control - BlogSeptember 28, 2021
Despite the efficiency of wireless design, the human-machine interface could be more advanced with the support of real-time and contactless features. Additionally, the current pandemic should make these contactless systems even more appropriate for operations and functioning. Voice recognition is one such attribute for building an ideal HMI system.
With IoT and embedded system technology gaining momentum with time, it is necessary for the microcontrollers and other devices to be energy efficient and consume low power. This ensures the optimum performance of the applications and effectively aids in reducing the size of the end products, as it would require smaller powering units. Hence, low power MCUs like the KL3x series prove to be of immense help in developing sophisticated applications with high precision.
Enhancing AI Inference through Sparsity Support and Transformer Optimization for Minimizing Latency - BlogSeptember 16, 2021
AI models have become more complicated in recent times due to the escalating demand for real-time AI applications in various industries. This necessitates the deployment of high-performing, cutting-edge inference systems in an optimal way. TensorRT's latest version addresses these issues by bringing in additional capabilities to provide more enhanced and responsive conversational AI applications to their customers.
With advancements in cloud computing technology, the architectural memory arrangement of data centers has evolved significantly. To enhance the compute capacity and extensive data processing, there is a need to integrate accelerators that excel at processing specific workloads. Although these devices already connect over PCI Express, the optimization can further improve with the compute express link as it allows heterogeneous processing with various system components.
CMSIS 5.8.0 Optimizes the Neural Networks and Signal Processing for Machine Learning Applications - BlogAugust 17, 2021
Interfacing compatibility determines the scope of applications for hardware devices and peripherals. CMSIS is one such interfacing standard that allows the integration of software entities from multiple vendors. The recent release of Keil’s MDK-ARM 5.35 highlights the specific update of CMSIS from 5.7.0 to 5.8.0 which is the major component of the development kit.
Eta Compute’s Low-Power Architecture Offers Long-Lasting AI Vision Workloads on a Single Battery - BlogAugust 12, 2021
Designing low-power architectures with intensive computational capacities decides the feasibility of machine learning applications. It comes with the challenge of accommodating high processing power and a more extended battery without compromising the compact form factor. So, Eta Compute’s design technology supports developers with limitless application options while consuming minimal power along with the complete assistance of the Edge Impulse machine learning development platform.
Bringing Down the Duration of Hardware Design Life Cycle for Compact High Performing Architecture - BlogAugust 03, 2021
Hardware needs to be compact for ASICs (Application Specific Integrated Chips) with complex architecture. Alongside, the demand for quick and energy efficient functionalities have shaped the circuit design conventions over time. Sondrel's architecture and design have reduced hardware design life cycles, thus lowering cost and time for deployment. It also accommodates the risk to bespoke technology requirements, ensuring the chip expectations are met from the commercial and technical point of view.
Updates and corrections in the minor version of the development kit propel the overall firmware to a stable build for a flawless deployment. The architecture design of the microcontrollers, along with the compatible software support brings out the optimal performance of the hardware.
Windows 10 IoT Enterprise LTSC 2021 offers much more features than the previous version of Windows IoT Enterprise. The new features focus on reducing the net cost and enhancing the connectivity and compatibility of the overall IoT ecosystem.
MicroMod Cards from SparkFun are one of the significant modular interfacing ecosystems. The ecosystem comes with a provision of interchangeable processors and carrier boards, thus allowing rapid prototypes and development for dynamic changes in the projects. The latest MicroMod Teensy processor board enhances the MicroMod applications featuring its Arm Cortex-M7 core.
The hardware components that drive smart vision applications go through a lot of changes during their development lifecycle.
Raspberry Pi SBCs are some of today's most popular development board options. Raspberry Pi comes in flavors ranging from the Raspberry Pi 2, 3, and 4 to the Raspberry Pi Zero and Zero W "maker" boards. Now, the Raspberry Pi Foundation has gone a step further by releasing of its very own processor: The RP2040 MCU.
You may have come across various hardware development boards and MCUs, which use Edge AI for processing and computations. However, cloud computing is still a preferred choice for deployment as it is faster and easier to design applications through the cloud platform. But it comes at the cost of latency in data transfer and security issues as the system is prone to network attacks. Hence, Edge AI addresses these issues as it works on the principle of on-device processing to make the system quick and safe.
Testing and debugging has always been a tedious phase for engineers in the hardware design life cycle. Finding the issues and backtracking errors consumes a lot of productive time which causes the delay in production. Hence, the concept of capturing and monitoring the electronic signals using a Logic Analyzer solves this issue for a Test Engineer to analyze the hardware design.