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.
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.
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.
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.
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.
FoodPhone™ Case: Advanced Vision Technology Turns Regular Mobile Phones into Precise Food & Nutrition Analysis Devices Using AI, 3D and Hyperspectral Approaches
The ready-to-integrate processing block for Sony’s 3rd generation CMOS Global Shutter image sensors equipped with the SLVS-EC interface accelerates the time-to-market and improves performance for vision development on XILINX FPGAs.
Evolution has provided mankind with two eyes. By doing so, only now can we see in three dimensions and recognize forms, outlines, and estimate distances. However, what is quite natural for us, is a complex task in industrial image processing. So, how exactly are 3D images created and which technologies can help with their implementation in order to teach machines to see and think?
The next level of vision technology is turning machines into smart partners - Innovative embedded applications in industry and everyday life benefit from the combination of 3D technology and Artificial Intelligence.
Selection of a sensor based on its performance is key for imaging engineers. If the chosen sensor looks right for a specific application, the next step is to evaluate that sensor to make sure it is indeed the correct choice. FRAMOS has several options available to evaluate sensors for individual applications.
OLEDs are cutting-edge technology for video displays. These displays are paper thin, exhibit high brightness, operate at lower power, and are made from a solid Si-wafer substrate. How does this technology work, what are the advantages and which applications benefit?
A camera without a lens produces no image; at best, it creates a grey and snowy artifact. The choice of the right lens is one of the most important selection criteria.
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