FastCV Computer Vision

FastCV: Optimized Computer Vision Librarys

FastCV is an optimized computer vision library developed by Qualcomm, providing APIs for face detection, object tracking, and other vision algorithms designed to run quickly on mobile and embedded devices.

What is FastCV Computer Vision?

FastCV is an optimized computer vision library originally developed by Qualcomm. It is designed to provide high-performance computer vision capabilities on mobile and embedded devices using optimized algorithms that take advantage of the underlying device hardware.

Some key features and capabilities of FastCV include:

• Face detection and recognition - Detect faces in images or video streams and extract facial landmarks and embeddings for recognition.
• Object detection and tracking - Detect common objects like people, vehicles, bags, etc. and track their movement across video frames.
• Image manipulation - Functions for resizing, converting, enhancing images and applying filters.
• Augmented reality - APIs to enable the development of AR experiences using the device camera.
• Barcode scanning - High speed scanning and decoding of 1D and 2D barcodes.
• Camera calibration - Tools to calibrate the device camera for improved computer vision accuracy.
• Hardware optimization - Algorithms optimized for Qualcomm Snapdragon mobile chipsets leveraging the GPU, DSP, and other processor capabilities.

FastCV provides cross-platform support for Android, iOS, Windows, and Linux. It is designed to deliver computer vision capabilities in a high performance, low power way to enable the development of CV applications on embedded devices.

FastCV Computer Vision Features

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