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FRAMOS GmbH Mehlbeerenstr. 2 82024 Taufkirchen, Germany http://www.framos.com
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ON Semiconductors’ Small, Power-Saving PYTHON 480 Sensor Allows Drones to Avoid Collisions

(PresseBox) (Taufkirchen, )
In the near future, drones will be reliable parcel services. Already now, elaborated vision systems control robots and whole production lines are managed automatically by algorithm-driven cameras. Image sensors are the starting point of numerous forward-looking applications. ON Semiconductors’ new PYTHON 480 Sensor, available from imaging expert FRAMOS, comes as the smallest and most power-effective part versus PYTHON 500. The new sensors follow ON Semiconductors’ PYTHON standards for cost-effective high-performance industrial imaging. The PYTHON 480 Sensor demonstrates its outstanding benefits to their best advantage in Industrial Automation Systems, Robot Vision, Barcode Scanner applications, and in the Collision Avoidance Control of drones.

Small, fast and precise, as the eye of a robot needs to be

The 1/3.6 inch SVGA CMOS image sensor with its large, highly-sensitive 4.8µm pixels, enables the capture of moving objects without any artifacts with single digit noise performance. It provides a high SVGA frame rate with 120fps with a compact CSP package, and a small footprint. This allows a very small camera design and significant power saving, as well a battery-powered mobile operation. These features are especially suitable for eyes of robots, surveillance systems, and unmanned aerial vehicles. Up to four regions of interest can be programmed, achieving higher frame rates for special focused areas. A separate synchronization channel containing payload information is provided to facilitate the image reconstruction at the receiving end. The device provides High Speed Serial or Parallel CMOS Output.

Sibel Yorulmaz-Cokugur, ON Semiconductors Line Manager at FRAMOS, explains the 480 Sensor’s unique features, and customer applications benefits: “The 480 has improved image and recognition quality. The high-sensitive pixels support low noise “pipelined” and “triggered” global shutter readout modes. Furthermore, the correlated double sampling (CDS) support in global shutter mode results in reduced noise and increased dynamic range. A high level of programmability allows the reconfiguration of integration time and gain-parameters by on-chip programmable gain-amplifiers and 10-bit A/D converters without any visible image artifact. Optionally, the on-chip automatic exposure control loop (AEC) controls these parameters dynamically. The image’s black level is either calibrated automatically, or adjusted by adding a user-programmable offset.”

Immediate availability to start design phase

Engineering samples of the PYTHON 480 will be available in monochrome and Bayer Color configurations in early 2017. Industry and product experts at FRAMOS are available to support customers in integrating these new sensors in their applications and projects. In addition, FRAMOS also provides services such as development support, customizations, and logistics.

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FRAMOS GmbH

"Teaching machines to see" is what drives us. For FRAMOS, image processing is not just a technical discipline, but a fascination, the future and our mission all at the same time. Since 1981 FRAMOS is a leading technology provider in industrial, scientific and medical image processing. Headquartered in Munich and with 4 subsidiaries worldwide we enable manufacturers, system integrators and researchers to benefit from imaging technologies. Our team of approximately 85 associates offers a fully comprehensive portfolio of imaging components, technical consulting and support. Thanks to many years of experience in the industry, we offer engineering services for custom camera development as well as complete turn-key-solutions. We are proud of our participation in a revolutionary technology. The spirit of innovation and development of our early days has remained at the heart of our company.

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The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.