Articles

Articles
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Embedded Vision Solutions Do Not Need to Come from Asia!

Embedded Vision is an important driver of digitization and automation, it makes machines and devices autonomously by enabling them to see. Many companies and OEMs work with components and suppliers from the Far East. Historically, this geographic location allows the integration of image processing into machines and devices, cost-effectively, and efficiently. Axel Krepil, VP of Sales for FRAMOS in Munich, Germany, reports on the resulting challenges from a developers point of view – how manufacturers and customers can develop tailor-made vision, high quality, and low cost solutions directly with local partners; and, at the same time, shorten their products’ time-to-market.

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Vision Insights: Capturing the First Image is Always the Hardest Part

Smart fridges, intelligent agricultural drones, or highly sensitive industrial robots – the working prototype and the first image present special challenges for developers embedding bare sensors into their devices. In this case, small sensor modules are ready for use and they can both simplify and accelerate the process from the initial concept, to a working prototype.

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Behind the Scenes of Vision: “Being a Swiss Army Knife is just in my DNA”

Explaining is one of Dr. Frederik Schönebeck’s strengths. As Field Application Engineer (FAE) at FRAMOS, he helps customers to make optimum use of image processing and create “seeing” products. It is his job to always have an answer, to point out technical connections and to be the voice between hardware and software development. In his daily work, he helps companies from various industries in equipping their machines and devices with vision.

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Vision Insights: Finding the Right Vision System for Every Drone

From small sensor modules to artificial intelligence – there are different technologies and image processing algorithms to allows drones to see. Each application has different requirements for the vision system and is dependent on the available space within the drone and the required image quality. Dr. Frederik Schönebeck of FRAMOS spoke at the VDI conference on “Civil Drones in Industrial Use” and described the criteria for applications in mapping, object recognition and navigation as well as the relevance of artificial intelligence for drones.

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Case Study 4D Technology: Micro-polarizer Technology Makes Impossible Measurements Possible

For accurate and instantaneous sub-nanometer interferometric measurements, even in the presence of vibration and motion, 4D Technology developed a micro-polarizer array. But now, the company is excited about the high performance and low cost of Sony’s IMX250 micro-polarizer sensor. 4D Technology’s main target applications demonstrate how on-chip polarization can improve and deepen imaging results.

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Sensor Modules Help Accelerate Embedded Vision Development

Developers of robots, drones, IoT, consumer devices and surveillance applications benefit from saving both development time and resources when they use sensor modules in their designs. FRAMOS has launched an innovative ecosystem of interchangeable sensor modules and adapters to ease and accelerate Embedded Vision Development.

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For Drones, Combining Vision Sensor and IMU Data Leads to More Robust Pose Estimation*

Drones are a popular and increasingly widespread product used by consumers as well as in a diversity of industrial, military and other applications. Historically fully under the control of human operators on the ground, they’re becoming increasingly autonomous as the cameras built into them find use not only for capturing footage of the world around them but also in understanding and responding to their surroundings. Combining imaging with other sensing modalities can further bolster the robustness of this autonomy.

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FRAMOS Editorial: Once you Have Visions, you Better go to the Doctor

… former German chancellor Helmut Schmidt and fellow of the US Presidents Ford and Carter once said. Today “vision” is an essential component of the Smart Factory, robots, thinking machines, safety and autonomous home devices. The former chancellor would be delighted, that the doctor also opts for “vision” today. Modern medical treatments, such as the pain-free pill camera instead of a colonoscopy, are only made possible by the latest image-supported diagnostic and surgical systems.

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CMOS Sensors are Now a Great Replacement for High-Resolution CCDs

CMOS image sensor technology has turned into the new normal. Well, not entirely… For high-end resolutions above 50 Megapixels, users still require CCD imagers to acquire high-resolution images. But now, CMOS sensors are available with high and super-high resolution, and bring numerous benefits for developers of demanding applications in terms of quality, speed, pricing, and time-to-market.

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A New Approach to E-Learning and Shared-Working: 3D Imaging Permits Gesture Control in Virtual Worlds

Knowledge is more easily conveyed, exchanged, and retained with a high level of natural user interaction. E-learning and shared-working providers are developing novel interactive applications based on this principle. 3D image processing permits intuitive gesture control for the precise interaction between the user and the software. Currently, the depth perception required for this purpose is simple to integrate into mobile devices with small 3D modules for immersive user interactions, and an intuitive user experience. This article shows how only 3D enables this interaction and shows the advantages of modern 3D technology for developer and companies seeking for cutting-edge ways of collaboration.

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Vision Insights: How to Evaluate and Remove Noise in Cameras

Clearly, from an end user experience, a noisy image is not a good image. This is an issue made more difficult because of the high sensitivity of the eye for the smallest of deviations. Also, for algorithms, noise leads to more efforts in analysis and less accuracy. For a camera manufacturer, the noise contains a plethora of information about the sensor and the electronic driving it. Thus, the noise is a developer’s best friend and if carefully analyzed will lead to the best possible camera design and implicitly to the best possible image for a given sensor and electronic components.

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