SSCMA

Open-source project focused on embedded AI.

We have optimized excellent algorithms for real-world scenarios and made implementation more user-friendly, achieving faster and more accurate inference on embedded devices.

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Install SSCMA

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Anomaly Detection

In the real world, anomalous data is often difficult to identify, and even if it can be identified, it requires a very high cost. The anomaly detection algorithm collects normal data in a low-cost way, and anything outside normal data is considered anomalous.

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Computer Vision

Here we provide a number of computer vision algorithms such as object detection, image classification, image segmentation and pose estimation. We optimizes these computer vision algorithms to achieve good running speed and accuracy in low-end devices.

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Scenario Specific

SSCMA provides customized scenarios for specific production environments, such as identification of analog instruments, traditional digital meters, and audio classification. We will continue to add more algorithms for specified scenarios in the future.