AIA

Artificial neural networks, sensor computing speeds up machine vision

One of the greatest challenges in terms of biological engineering is creating accurate and reliable artificial machine vision.

Advancements in LiDAR embedded vision technology for safer autonomous vehicles

Autonomous cars are coming, and advancements in technology are improving their performance to the point where their current novelty will become future acceptance and commonality.

Six computer vision technology trends

Computer vision is a part of everyday life for most people. Take a look at six of the hottest trends in computer vision technology.

Hyperspectral imaging use in industrial machine vision systems grows

Hyperspectral imagining uses a greater number of possible wavelengths of light and gathering data for individual pixels of an image, and is able to identify a large number of distinct colors.

As demand for computer vision grows, what key technologies are trending?

Take a look at some of the newest trends in computer vision including smart cities, home security, and more.

Machine vision is finding its way into new applications as automation demand increases

Advancements in machine vision capabilities have created opportunities to incorporate machine vision into more functions.

Emphasizing and implementing safe practices for using AI in medical fields

Artificial intelligence (AI) has become a crucial development in the health care field. It is important to create safe practices for the AI being used within a highly regulated industry.

Advanced bioimaging center pushing the limits of imaging technology

UC Berkeley will be opening an advanced bioimaging center that aims to promote imaging technology in life sciences.

Pharmaceutical industry processes benefiting from machine vision

Machine vision applications for pharmaceutical manufacturers include everything from formulation to packaging to shipping and are designed to protect consumers.

Comparing the different interface standards for embedded vision

Embedded vision interfaces vary on the application's specific needs. Mobile industry processor interfaces and USB 3.0 are the most common.

How machine vision is disrupting and changing life science industries

Machine vision is making life science industries more interactive and safer for workers as artificial intelligence takes on a greater role.

Convolutional neural networks help embedded vision applications

Convolutional neural networks (CNNs) have the ability to replicate the human thought process and use embedded vision to automate those processes.

How embedded vision and AI can reduce manufacturers’ costs

Embedded vision is being added to imaging technology used in drones, collaborative robots and other devices on the manufacturing floor to improve efficiency.

Processors best suited for embedded vision applications

The rise of embedded vision technology is increasing demand for processors. Processors like CPUs, GPUs, and FPGAs can help.

Computational imaging and machine vision improve image processing

Computational imaging (CI) redefines the design of traditional image capture for machine vision applications and offers cost savings and flexibility for manufacturers.

Three applications deep learning and computer vision can improve

Utilizing deep learning and computer vision can improve image classification, object segmentation and image reconstruction.

Three things to consider when choosing a smart camera for an embedded vision application

Users choosing smart cameras for embedded vision applications should think about the camera's processor, vision software and automation system integration.

Embedded 3-D machine vision enhances automotive production

3-D machine vision can be used for a wide range of automotive manufacturing applications where fast and accurate object detection is needed.

Leveraging augmented reality wearables on the plant floor

Augmented reality (AR) wearable technology can provide workers and companies real-time information about conditions on the plant floor to make everyone safer.

Three machine vision trends for 2020

Machine vision trends to watch out for include embedded vision and improved metrology and vision-guided robotics

Machine vision can improve random bin picking

Random 3-D bin picking is a developing robotic skill that requires robots to see and act more like humans, which is a complex task. Machine vision can help.

Machine vision and AI enhance 3-D printing

Adding machine vision and artificial intelligence (AI) to 3-D printing allows industrial printers to produce products that have never been printed before.

Improve the supply chain with drone-based image recognition

Warehouses are turning to drone-based image recognition to improve supply chain efficiencies.

Machine vision trends for food inspection applications

Machine vision inspections require lighting and sensors in order for food to be properly imaged and in-depth information to be ascertained and technologies like neural net inspection and near-infrared inspection are helping.

Using augmented reality for increased visibility

Complex augmented reality (AR) could soon find everyday use on assembly lines, in operating rooms and in the classroom as technology advances.

Helping autonomous cars see with embedded vision

Sensor companies are creating a detection system that can sense a vehicle’s environment better than human eyesight through a combination of camera, radar, and light detection and ranging (LiDAR) sensors.

Machine vision advances improve surveillance, public safety

Machine vision technology is widely used for surveillance, and researchers are working to make it more and more intelligent, but occlusion is still a well-known issue in people-detection.

Eye-tracking technology as the future of human-computer interaction

Eye-tracking technology is being used for research and industrial applications and will improve right along with virtual reality (VR) and augmented reality (AR) systems and become the basis for human-computer interaction

3-D machine vision for safer collaborative robot automation

3-D machine vision lets a robot sense, process information and mimic the way two humans adjust to working around each other.

Agricultural imagery and machine vision

Machine vision technologies are helping the agricultural industry prevent food losses by giving farmers a better look at their crops' health.

Emerging 3-D vision technologies for robot and machine vision

3-D machine vision is a growing trend that delivers accurate, real-time information to improve performance in applications. 3-D machine vision detects objects regardless of position.

Embedded vision for industrial inspection purposes

Embedded vision systems can help businesses improve on the current standards set by manual inspection procedures.

Improving automated inspection in manufacturing

Machine vision and artificial intelligence (AI) are making their way into production and manufacturing and improving inspection practices by making it automated.

Six tips for picking the correct machine vision lens

Picking the right machine vision lens requires the user to consider the type of lens, sensor, and more.

Embedded vision is driving ADAS technology advances

Advanced driver assistance systems (ADAS) offer simplification of the driving process, including reduction of driver distraction and inattention and embedded vision is integral to these advances.

Deep embedded vision benefits for manufacturers

Deep embedded vision systems can work without operating systems and feature advanced algorithms for processing raw image streams from integrated image sensors.

Detecting defects with 2-D and 3-D automated optical inspection

2-D and 3-D automated optical inspection (AOI) scan printed circuit boards (PCBs) for both catastrophic failure and quality defects, but each inspection system has particular strengths and weaknesses.

Machine vision component and system sales decline in first quarter

The AIA reported that machine vision component and system sales declined 4.5% in the first quarter of 2019 compared to the same period in 2018.

Differences between machine vision and embedded vision

Embedded vision and machine vision applications are effective, but they have different priorities and interfaces that need to be considered.

Four ways embedded vision systems are used to enhance robotics

Embedded vision systems can help robots achieve and accomplish tasks they weren't able to do before including automated assembly and robotic inspection.

Embedded vision systems improve virtual reality

Embedded vision systems are being used to track human eye movements and determining, which is improving virtual reality (VR) applications.

Technologies advancing machine vision identification

Many technologies are pushing the machine vision industry forward in regards to identification capabilities, which is a central aspect of what machine vision systems have to offer in nearly any scenario.

Benefits of FPGAs and GPUs in embedded vision image processing

While embedded vision is still an emerging technology, to date there are typically two main types of processors used in embedded systems – field programmable gate arrays (FPGAs) and graphics processing units (GPUs).

Vision systems in advanced driver assistance systems

Advanced driver assistance systems (ADAS) have come a long way since their inception and new technologies are helping them achieve greater degrees of autonomy in navigation and operation.

Machine vision system design challenges

Modern machine vision systems have advanced with developments such as higher resolutions, sensitivities, and frame rates, but they haven't happened in parallel, which has created some problems.

Machine vision industry growth expected to continue

The machine vision industry is expected to continue growing as investors begin to realize the market's potential and its benefits for manufacturing and other industries.

FPGA benefits for embedded vision applications

Field programmable gate arrays (FPGA) are designed to offer flexibility and performance to improve overall system functionality and viability for embedded vision applications.

Inspection robot benefits for critical infrastructure applications

Inspection robots feature advanced vision systems and are in high demand in critical infrastructure applications and industries such as oil & gas and the petrochemical industries.

Four embedded vision trends enabling adoption

Embedded vision systems are being leveraged in industrial manufacturing and trends such as ease of use, lower costs, and smaller chips are helping their widespread adoption.

Machine vision standards help the industry grow

Four machine vision standards are helping the industry grow as a whole and help facilitate new business opportunities.

Machine vision users adopting cloud computing

Many companies are turning to cloud computing to handle the large data flows coming from their machine vision systems.

Defense sector applications for embedded vision technology

The military is using advanced embedded vision technologies to provide soldiers with faster and more reliable information to keep them safe in the field.

Medical industry leveraging embedded vision technologies

The medical industry is leveraging embedded vision technologies, but there are challenges surrounding the cost and the customization required for a new product.

Embedded vision’s future role in manufacturing and automation

The manufacturing sector is moving towards greater and greater levels of automation as they strive for higher levels of productivity, safety, and low-cost production and embedded vision will a key role in the future.

Machine vision industry growth expected in 2019

The machine vision industry, coming off a strong 2018, will see continued growth throughout 2019 as major changes, largely driven by technology and economic advances.

Benefits of frame grabbers for machine vision applications

Frame grabbers continue to provide benefits for machine vision applications because of the rising resolution and speed of image sensors.

Four machine vision software advances

Advances in deep learning, 3-D imaging, and optical character recognition (OCR) software are among the major machine vision developments happening right now.

Embedded vision’s role in augmented and virtual reality advances

Embedded vision technology is an essential component for augmented reality (AR) and virtual reality (VR) environments and allows headsets to capture the world around them in an extremely compact space.

Machine vision use growing in food and beverage industry

The food and beverage industry has been an early adopter of machine vision technology, which has inspired some companies to develop technology that meets stricter industry standards.

Smart cameras are becoming more complex and smarter

Smart cameras are part of the reason why the machine vision is growing. The technology behind smart cameras is making them more complex and diverse and enabling them to use deep learning.

Embedded vision is changing how people, machines interact

Embedded vision immerses the user in a more natural way by allowing the products to better augment our existing capabilities.

Embedded system benefits in mechanical, automotive applications

Embedded vision technology has the potential to transform how the automotive, consumer electronics, robotics, and semiconductor industries work.

How integrators are staying ahead of machine and embedded vision trends

There are many innovations available for integrators to choose from as machine and embedded vision technology continues to evolve.

Embedded systems in industrial vision applications

Embedded vision systems leverage unique technology to help applications ranging from aerospace to robotics to logistics and transform machines into intelligent systems.

Updates to 2018 machine vision standards

Machine vision standards help provide component interoperability for manufacturers who are trying to develop products with the potential for widespread industry use.

Artificial intelligence in machine vision applications

Artificial intelligence (AI) technology is beginning to make its way into machine vision applications in a wide range of industries thanks to the rise of the Industrial Internet of Things (IIoT).

Embedded sensing in autonomous navigation

While autonomous navigation is still in its early stages, there have been many technological breakthroughs.

Embedded vision applications in supply chain management

Embedded vision applications has the ability to quickly generate visual data, and it is being used at all stages of the supply chain.

Machine vision’s role in the IIoT

Many manufacturers are striving to implement Industrial Internet of Things (IIoT) capabilities in their facilities, and machine vision is playing a big role in this.

Embedded vision finds new uses in security and surveillance applications

Embedded vision technology is advancing security and surveillance capabilities in a number of different ways.

The future of embedded vision in manufacturing

Embedded vision can be used in many different ways for a variety of functions, and the future of embedded vision technology could take several different paths for manufacturing applications.

Embedded vision uses for remote healthcare and diagnosis applications

Embedded vision has the ability to help remotely care for patients, which increases the global accessibility of healthcare, improves healthcare's overall quality, and lowers the cost of healthcare services.

Machine vision sales set record to start 2018

North American sales of machine vision components and systems increased 19% year over year to $709 million in the first quarter of 2018, setting a record for quarterly sales, according to the AIA.

Embedded vision systems improve 3-D mapping capabilities

Embedded vision technology is used to combine known locations with movement tracking to autonomously navigate new and diverse environments and is playing an important role for feeding data to autonomous systems for navigation.

Advanced image sensors’ role in developing autonomous vehicles

Advances in machine vision technology are leading us closer to a future of driverless cars and trucks, but challenges such as the massive amount of data produced by vision systems remain, which companies are working to overcome.

Embedded vision systems are crucial for ADAS in automobiles

Advanced driver assistance systems (ADAS) in automobiles have quickly become a common feature in most new vehicles and serves as a prime example of embedded vision technology's potential to transform the way we interact with products.

Pros and cons of high-speed machine vision interfaces

When deciding on which machine vision interface would be best for an application, it's important to assess the application's unique needs and consider ease of deployment, cable length, low life-cycle cost and customer ecosystem.

Visual SLAM technology benefits and applications

Visual simultaneous localization and mapping (SLAM) is quickly becoming an important advancement in embedded vision and refers to the process of determining the position and orientation of a sensor with respect to its surroundings while simultaneously mapping the environment around that sensor.

Machine vision systems are increasingly using cloud technology

Machine vision has always been responsible for acquiring and processing an enormous number of gigabytes of image data, especially for industrial applications, and the cloud can help store it.

Embedded vision systems’ potential for imaging, vision technology

Embedded vision systems have the potential to transform how imaging and vision technology and will push the boundaries of what's possible with machine vision technology.

Near-infrared imaging growing in demand

Near infrared (NIR) imaging is growing in demand around the globe, typically as a replacement for thermal or far-infrared (FIR) vision for night vision and its potential applications are growing.

Machine vision trends for 2018 and beyond

The machine vision industry is experiencing robust growth as industrial and non-industrial applications depend on its benefits more to make operations easier and more user-friendly.

Machine vision benefits for autonomous vehicles

Machine vision capabilities will play an increasingly important role in the development of autonomous vehicles and will play a key role in widespread deployment.

Infrared and thermal imaging system benefits and applications

Infrared and thermal imaging solutions have become widely available, they've become widely utilized and have become cheaper overall. They bring a number of advantages over visible imaging solutions for certain applications.

Applications that benefit from 3-D sensing

3-D sensing is helping machine vision solving many automation challenges, but it's not suited for all applications. Knowing what types of 3-D vision are out there and understanding the application helps.

Embedded vision benefits and applications

While embedded vision systems cannot take the place of PC-based vision systems altogether, embedded systems do present many advantages for certain applications and provide benefits such as small size, low cost, and low energy consumption.

Traceability and imaging for life sciences applications

Traceability in the life sciences industry provides companies with the ability to trace a product, device, or medicine through the course of its supply chain from beginning to end to reduce liability for all companies involved in the supply chain.

Benefits of smart cameras in industrial settings

Smart cameras incorporate an image sensor and CPU capabilities into the camera, which has a few consequences for certain applications and can capture and process images without the need for an external PC.

Embedded vision systems in healthcare, clinical settings

Embedded vision technology has the potential to help healthcare professionals identify disease more quickly and provide them with more accurate information about their patients.

Picking the right machine vision software for an application

Machine vision software capabilities have expanded, and companies looking to expand their capabilities need to consider integration, ease of use, and costs when making a decision for their company.

Advantages of structured light lasers for 3-D imaging

Structured light lasers can be useful for 3-D imaging in applications where the environment is unchanged and they have a strong measurement coverage area.

Three machine vision maintenance tips for system integrators

System integrators that perform machine vision maintenance for their customers can create better relationships by being proactive, thorough, and helpful when they are needed.

Four tips to improve machine vision inspection efficiency

Machine vision efficiency is at the core of production efficiency and it can be improved by considering lighting techniques, light wavelength and frequency, and more.

Six machine vision lighting design considerations

Machine vision lighting is an aspect that is sometimes overlooked, but having an understanding of how it will look and what the visual settings and limitations are will be crucial to making the automated imaging system a success.

Protecting machine vision systems in rugged, harsh environments

Machine vision enclosures are built to protect the vision system, but every application poses different environmental hazards, which makes it extremely important to find the right solution.

Potential applications and limitations for thermal imaging

Thermal imaging has opened the door to entirely new applications that previously may not have seemed possible for industries such as farming, mechanical inspection, and construction.

Minding the talent gap in machine vision

Careers in automation aren’t at the top of recent graduates’ wish lists. And when they are, managers find that many candidates are lacking essential skills required of the job.

Four ways agricultural drones are helping farmers’ productivity

Farmers' techniques for boosting productivity and annual yields are improving with the use of agricultural drones mainly for analysis, crop monitoring, irrigation, and crop health assessment.

Ten execution concepts for machine vision design and configuration

In order for a successful machine vision design, reliability and repeatability must be achieved through careful analysis and design tactics from start to finish of the process.

Vision-guided robotics for pick-and-place applications

In order for vision-guided robots (VGR) to perform properly and efficiently, a machine vision system must be set up accurately to avoid potential mistakes.

Machine vision sales up in 2014 through third quarter

Total sales of machine vision components and systems increased 12% to $1.65 billion in the first nine months of 2014, according to the AIA.

North American machine vision sales rise for second straight quarter

The AIA reports North American machine vision sales rose 6% for the second quarter of 2013 with machine vision systems having the highest growth of any category.