Acquisition and conversion of video and audio data
Media data is increasingly leveraged in every industrial situation. Work is automated based on analysis of video and audio, and image recognition AI improves the work efficiency. Now, media data including video and audio is essential to machine learning, the development of AI, and other advancements. To develop an AI model that makes the most of media data (e.g., computer vision and audio analysis) or to run a continuous learning cycle of a model, you must build a complicated pipeline that includes data acquisition and conversion to collect media data, make your machine continuously learn models, and deploy new models in automation operation. The intdash-based media data pipeline comprehensively provides mixed functionality required for such digital transformation, including transmission, storage, and conversion of video and audio.
Acquisition of media data such as video and audio has many different challenges including support for various codecs, timestamp matching with other fusion data, and transcoding after collection.
Adding integrated timestamps to data streams across multiple sources such as "video and video" or "video and sensor signal" to map data to the same time axisView Details