Comprehensive software for DM8168 and
DM8148 DaVinci™ digital media processors
TI’s EZ SDK – royalty-free and no-risk environment
These are just a few of the many features the TI’s EZ SDK provides:
• Linux support now based on 2.6.37+ kernel
• Android support coming 2Q 2011 WinCE coming 3Q 2011
• TI audio/video codecs: H.264 encode and H.264 decode, JPEG/MJPEG
encode and JPEG/MJPEG decode, MPEG4 and H.263 decode,
MPEG4 and H.263 P0 encode, MPEG2 decode,
VC1 decode, G.711 encode/decode, AAC
encode/decode, MP3 decode
• Third party offerings: Codecs, system
integration, module partners, operating system
partners
Video analytics on TI’s
DaVinci™ digital media
processors
Active open source community and large ecosystem of developers:
1
The basics of video analytics with
DaVinci™ digital media processors
What are “video analytics?”
Video analytics are functions typically used in video surveillance applications that
automatically analyze live video streams to detect moments in time that are not based
on a single image. They can be easily compared to an automated, artificial
intelligence visual cortex of the brain – the part that assesses visual images.
State-of-the-art video analytics algorithms, or complex math functions made possible
through a digital signal processor in a video camera, to detect, track and map the
positions of people, vehicles and other objects as they move and interact in the camera’s
field of view. Video analytics are commonly used in video security applications for retail stores, community venues
and transportation points. Video analytics can also be used in entertainment and health care applications.
How are video analytics possible on DaVinci™ digital media processors?
The DaVinci digital media processors containing a digital signal processor (DSP), along with the video processing
subsystem, enable complex algorithms and signal processing. These algorithms and signal processing functions
are implemented via software programming on the DSP in the DaVinci digital media processors. To make this
development easy, TI has an extensive vision library that contains various video analytics algorithms for developers
to utilize as a starting point to save time when programming the DSP for their specific video analytics.
What are some examples of video analytics?
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Motion detection is used to determine the presence of motion in an area being observed by a video camera or
motion detector. Motion detection is a common feature in video security alarm systems.
Object detection determines the presence of people or objects being captured through video and relays what
type of objects they are real-time. This type of video analytics can include fire and smoke detection.
Face recognition can capture and possibly identify people, which is helpful for video airport security for terrorism
or criminal detection. The same type of analytics can be used for automatic license plate recognition.
Tamper detection enables an alarm to alert the proper entity when a camera or output signal has been
compromised. Tamper detection is a popular feature in video security systems for retail stores.
Video tracking determines the location of people or objects captured in a video signal and locates them on an
external reference grid to find them.
SPRT602
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