Due to the large amount of video data generated from multiple cameras, edge AI machine learning solutions are encountering real-time video performance issues with limitations in space, power, and cost. The solution: offload real-time multi-camera video analytics processing to an Edge Platform. Lanner collaborates with SiMa.ai to build the Edge Platform, featuring Lanner Edge AI appliances LEC-2290 and EAI-I730, SiMa.ai’s Machine Learning System on a Chip (MLSoC), and Palette™ Edgematic Software Platform. With pushbutton performance, we enable the most efficient Edge Machine Learning Platform by connecting a higher number of cameras per appliance, processing videos with a higher frame rate per second, and receiving higher resolution camera data. |
Machine Learning System on a Chip (MLSoC) PCIe BoardThe PCIe half-height, half-length production board is a versatile board that uses the SiMa.ai Machine Learning System on Chip (MLSoC) device.
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Palette™ Edgematic Software PlatformSiMa.ai’s Palette™ software platform is designed for complete ML stack application development. The platform supports any ML workflow customers plan to deploy on the edge without compromising on performance and ease of use. Palette Edgematic provides a graphical drag-and-drop approach to prototyping computer vision pipelines in minutes. Both Palette tools enable a pushbutton build methodology to eliminate the need for low-level hand coding in edge ML solutions.
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Featured Products
LEC-2290A |
EAI-I730 |
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Ready to Deploy? |
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