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Intel Announces RealSense LiDAR Depth Camera for Indoor Applications Intel Announces RealSense LiDAR Depth Camera for Indoor Applications
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Intel Announces RealSense LiDAR Depth Camera for Indoor Applications
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Old 12th December 2019, 09:13   #1
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Default Intel Announces RealSense LiDAR Depth Camera for Indoor Applications

Intel has introduced the first member of its RealSense LiDAR family of depth cameras, the RealSense LiDAR L515. The sensor is primarily designed for indoor use, with Intel optimizing their to capture typical indoor ranges with a small, high accuarcy device.

Intel’s RealSense LiDAR L515 comes equipped with a 1920×1080@30Hz RGB sensor, a 1024×768@30Hz depth sensor, and the Bosch BMI085 inertial measurement unit (i.e., accelerometer and gyro). When it comes to physical capabilities, the RealSense LiDAR L515 has a range of 0.25 meters to 9 meters, a 70° ±3° × 43° ±2° RGB field-of-view as well as a 70°±2° × 55°±2° depth field-of-view. The LiDAR can scan a scene with up to 23 million points of depth data per second. Furthermore, the built-in vision processor can capture high paced scenes with minimal motion blur due to an exposure time of less than 100 ns and offloard appropriate processing from host saving battery life and improving performance.

https://www.anandtech.com/show/15220...r-applications

The LiDAR L515 uses Intel’s proprietary MEMS mirror scanning technology that promises a better power efficiency than other time-of-flight technologies. In fact, Intel goes as far as claiming that at 3.5 W, its RealSense L515 is the most power efficient high-resolution LiDAR in the industry.

Intel’s RealSense LiDAR L515 measures 61 mm by 26 mm and weighs around 100 grams. The small dimensions and low weight make it possible to install the RealSense L515 into most devices that need to support navigation or gesture recognition. Furthermore, the LiDAR uses Intel’s open source Intel RealSense SDK 2.0, connecting back to its host via a USB 3.1 Type-C interface. The sensor is reportedly compatible with Android, Windows, macOS, and Linux, which makes it compatible with virtually all compute platforms available today.
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