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3D Vision is Driving Automation 

3D cameras for industrial applications have to operate in harsh production environments and reliably detect moving objects at speed, e.g. when the camera is mounted on a robot arm. Stable and latency-free data transmission over extended distances is essential – using GigE Vision, for example – as is straightforward integration.

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Evaluation Guide: OLED Microdisplays from Sony® Semiconductor

OLED (Organic LED) Mircodisplays from Sony® Semiconctur Solutions are cutting-edge small video display providing fast response, high-contrast image technology and precise color reproduction, developed for applications in AR/VR/MR, broadcasting, electronic view finders, industrial maintenance and medical. Evaluate the best OLED Microdisplay for your Vision Project.

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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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