I love Technology

 Product design success is crucial for high-tech companies, but it is not the only factor that determines the success of a product. A well-designed and executed supply chain strategy can make all the difference in achieving performance goals, delivering a compelling user experience, and reaching market penetration and revenue generation. However, many companies that excel in product development and technology innovation often lack proficiency in the process and operational side of the product journey. The complexity of modern, multi-tier , multi-region supply chains can be overwhelming, and supply chains can be disrupted by anything from human error and economic volatility to natural disasters and shifting industry demand. To better manage these risks, many organizations are turning to external partners to help navigate the diverse network of product and service providers. Third-party companies offer an array of technologies, platforms, consulting services, and more to address vari...

 The Industrial Internet of Things (IIoT) is revolutionizing the manufacturing industry, with companies that adopt these technologies set to see significant gains in efficiency and productivity. According to a report by Accenture, the adoption of IIoT could increase the Gross Domestic Product of the U.S. alone by more than $7 trillion by 2030. But what exactly is the IIoT and how is it driving this economic growth? The IIoT is a flexible concept that encompasses technologies such as sensing, networking, and communications, and combines them with computing and analytics. This enables solid connections between a factory's operational technology (OT) systems and the enterprise information technology (IT) domain. It is the critical enabler for companies to achieve digital transformation and is the essence of the fourth industrial revolution. One of the key elements of the IIoT is the use of smart, digital sensors that can be deployed in large numbers to monitor almost any parameter in...

 EVAA prevents plane crashes with its moral compass: NASA’s Resilient Autonomy team and the Federal Aviation Administration have developed the Expandable Variable Autonomy Architecture (EVAA) to avoid aviation accidents by giving aircraft autonomous capabilities. It can assist human pilots or act on its own and has already saved 11 lives according to Mark Skoog, principal investigator for autonomy research at NASA's Armstrong Flight Research Center. Autonomous tractors increase farm productivity: Autonomous farming can increase the efficiency of large industrial farms, by using self-operating tractors and other machinery, such as John Deere's Autonomous Tractor Concept, which uses GPS and sensor technology to navigate and perform tasks on the farm. Self-driving tractor-trailers fight driver fatigue: Self-driving tractor-trailers can help reduce the risk of accidents caused by driver fatigue, by using sensors and cameras to navigate the roads, and advanced algorithms to make dec...

The field of electronic sensors has come a long way in recent years. From the early days of simple magnetic reed switches and electromechanical microswitches to the sophisticated microelectromechanical systems (MEMS) of today, sensors have become more capable, smaller, and more affordable. One of the most interesting aspects of electronic sensors is how they mirror nature. Humans have at least nine senses, and other non-human organisms have even more, such as mantis shrimp with the most complex eyes known in the animal kingdom, or bats and dolphins using echolocation for navigation. Electronic sensors have also evolved to mimic many of these natural senses, such as optical sensors for vision, audio sensors for hearing, olfactory sensors for smelling, gustatory sensors for tasting, and tactile sensors for touch. The Internet of Things (IoT) has played a major role in the development of these advanced sensors. The demand for connected devices has led to the creation of a wide variety of ...

 The Internet of Things (IoT) is expanding to outer space, with a growing industry of providers such as Viasat-Inmarsat, HughesNet, Starlink, and others offering connectivity between devices on Earth and satellites. This new frontier for IoT presents a unique capability, as it can potentially serve any location on Earth, including oceans and seas that make up over 70% of the Earth’s surface. In the past, the high cost of building, launching, and operating satellites has made them unattainable for all but large enterprises and government agencies. However, advances in technology have made it possible to build smaller, cheaper satellites, known as CubeSats, which have made it more accessible for businesses and organizations of all sizes. The shipping industry was one of the first to take advantage of satellite-based IoT, as it allows for the tracking of ships across the globe. Other target markets include government and civilian agencies that monitor illegal fishing, wildlife poachin...

 Autonomous systems rely on sensors to gather information about their environment and make decisions. Sensors can be divided into two main categories: passive and active. Passive sensors, such as inertial measurement units (IMUs) and image sensors, detect incident light or changes in parameters without emitting a source signal. Active sensors, such as radar and lidar, emit their own source signal and measure how it changes by detecting reflections. The three main sensor modalities used in autonomous systems today are radar, lidar, and image sensors. These technologies are all used for object detection and collision avoidance, as opposed to location or navigation. They provide visibility of objects that are relevant to the autonomous system, and anything that is not relevant can be safely disregarded. When comparing these technologies , one way to differentiate them is by their use of the electromagnetic (EM) spectrum. Radar systems operate from around 5 MHz to 300 GHz, with higher...

Computer vision technology enables computers to derive actionable results from digital images and video. By allowing computers to "see" and understand images, computer vision is being used in a wide range of applications, from the visual inspection of peanuts on a conveyor belt to the camera systems in autonomous vehicles. Traditionally, image processing has been done in the camera itself or a nearby embedded computer, but the emergence of cloud computing has made it possible to perform image processing on a much larger scale. However, for real-time applications, the latency of sending data to the cloud and back can be too long, making it difficult to use cloud-based solutions. Additionally, there are security concerns with transmitting data over a public network . To solve these problems, some companies have begun processing images and video at the edge, where the data is generated. This reduces latency to near zero, maintains critical data at its source, and eliminates the...