Marker-based AR is created using image recognition to identify objects already programmed into your AR device or application. When placing objects in view as points of reference, they can help your AR device determine the position and orientation of the camera. This is generally achieved by switching your camera to grayscale and detecting a marker to compare that marker with all the others in its information bank. Once your device finds a match, it uses that data to mathematically determine the pose and place the AR image in the right spot.

Augmented reality creates an immersive experience for all its users. Though the most common AR forms are through glasses or a camera lens, interest in AR is growing, and businesses are showcasing more types of lenses and hardware through the marketplace. There are five significant components of AR:

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Now DFOV can be calculated by replacing HFOV with it in the above equation. Since AFOV and working distance are known entities, DFOV can be derived using this.

To learn everything about choosing the right lens for your embedded vision system, please visit the article How to choose the right lens for your embedded camera application.

In embedded vision – in most cases – the image sensor is chosen first. This would mean that the choice of lens is heavily determined by the sensor you use (since AFOV depends on the sensor size). For a given sensor size, to achieve a wider FOV, you need to go with a short focal length lens and vice versa. However, since the focal length cannot be made shorter beyond a point, increasing the sensor size also helps to achieve a wider FOV.

As your team moves to integrate technology into your workflow and processes, adding an augmented reality solution can improve your business’s overall productivity while maximizing efficiencies using data-driven insights.

So if you are looking for help in picking and integrating the right camera into your embedded system, please don’t hesitate to reach out to us at camerasolutions@e-consystems.com. Meanwhile, you could browse through our complete portfolio of cameras here.

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As all technologies blur the lines between reality, determining a suitable use case for your business is crucial. For many businesses, AR is usually the easiest to integrate into the company’s processes.

In deciding which type of AR technology you’ll need for your business, you’ll first have to determine what kind of AR to use. There are two types of augmented reality: marker-based and marker-less. Choosing one of these types of AR will determine how you’ll be able to display your images and information.

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In the workplace, adding augmented reality to your processes and procedures can help enhance the learning and comprehension benefits for your employees. AR training is an educational experience presented through the software on AR devices to help employees gain critical professional skills. This type of training experience can be launched at any time, any place with the right software.

Augmented reality offers a better way to design, curate, and deliver consumable instructions by overlaying digital content in real-world work environments. When a business understands what AR is and how to utilize it successfully, everyone can work remotely while collaborating efficiently.

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Marker-less AR is more complex as there’s no point in which your device will focus on. Because of this, your device must recognize items as they appear in view. Using a recognition algorithm, the device will look for colors, patterns, and similar features to determine what that object is and then, using time, accelerometer, GPS, and compass information, it will or orient itself and use a camera to overlay an image of whatever you’d like within your real-world surroundings.

Prabu is the Chief Technology Officer and Head of Camera Products at e-con Systems, and comes with a rich experience of more than 15 years in the embedded vision space. He brings to the table a deep knowledge in USB cameras, embedded vision cameras, vision algorithms and FPGAs. He has built 50+ camera solutions spanning various domains such as medical, industrial, agriculture, retail, biometrics, and more. He also comes with expertise in device driver development and BSP development. Currently, Prabu’s focus is to build smart camera solutions that power new age AI based applications.

Dynamics 365 Guides incorporates AR to help you solve problems in real-time. With the ability to adapt by using training guides for training or day-to-day processes, you’re able to solve problems quickly and optimize your operations with on-the-job guidance.

Field Of View is the maximum area of a scene that a camera can focus on/capture. It is represented in degrees. Depending on how you measure it, FOV can be represented either vertically, horizontally, or diagonally as shown in the image below:

Besides industry-specific uses, many industries currently use AR apps to identify, track, and resolve technical issues. It can also help in other non-physical procedure cases like for marketing as a advertising, entertainment, and events tool by allowing users to get information simply through their phones.

In this article, we attempt to learn what focal length and field of view are, their differences, and why it is important to understand the two concepts thoroughly when it comes to choosing a lens for your embedded vision application.

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From this equation, it can be understood that the shorter the focal length, the wider the AFOV, and vice versa. This is clearly depicted in the figure below:

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Field of view and focal length are two of the most important concepts when it comes to lenses. While focal length is the defining property of a lens, field of view can vary depending on certain other parameters. And when you select a lens for your embedded vision application, you need to make sure that you pick the right one for your sensor such that the desired field of view is achieved.

Usually, the horizontal dimension (which is nothing but the HFOV) and the working distance are given values. Using these, you would be able to calculate AFOV.

What is AR? Augmented reality is an enhanced, interactive version of a real-world environment achieved through digital visual elements, sounds, and other sensory stimuli via holographic technology. AR incorporates three features: a combination of digital and physical worlds, interactions made in real time, and accurate 3D identification of virtual and real objects.

AR can also help guide and support employees regardless of their location, leading to better collaboration and safer working conditions in your fields. By enhancing traditional learning methods, this method can offer more information for better comprehension. Some ways your team could use AR would be:

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However, in most cases, the FOV of a lens is expressed using DFOV or Diagonal Field of View. So, you might have to calculate the DFOV value as well. Let us see how that is done.

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Picking the right lens considering multiple factors can sometimes be overwhelming. And this is where e-con Systems can help. While integrating our camera modules, we work closely with our customers to help them choose the best-fit lens for their application. We also extend lens fixation and lens mount customization services.

e-con Systems has been raising the bar in embedded vision for close to two decades now. With a wide portfolio of MIPI cameras, USB cameras, GMSL2 cameras, FPD-Link III cameras, and GigE cameras, e-con stands true to its vision of enabling machines to see and understand the world better every single day. We have our cameras deployed in more than 300 customer products and have shipped over 2 million cameras globally.

Focal length is the defining property of a lens. It is the distance between the lens and the plane of the sensor, and is determined when the lens focuses the object at infinity. It is usually represented in millimeters. Its value depends on the curvature and the material of the lens.

In the recent growth of types of virtual realities, it can be challenging to keep up because of their subtle differences. The types of digital realities are: