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The Bluetooth protocol RFCOMM is a simple set of transport protocols, made on top of the L2CAP protocol, providing emulated RS-232 serial ports (up to sixty simultaneous connections to a Bluetooth device at a time). The protocol is based on the ETSI standard TS 07.10. RFCOMM is sometimes called serial port emulation.
Bluetooth HID is a lightweight wrapper of the human interface device protocol defined for USB. The use of the HID protocol simplifies host implementation (when supported by host operating systems) by re-use of some of the existing support for USB HID in order to support also Bluetooth HID. Keyboard and keypads must be secure.
A facial recognition system[ 1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces. Such a system is typically employed to authenticate users through ID verification services, and works by pinpointing and measuring facial features from a given image.
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SBC, or low-complexity subband codec, is an audio subband codec specified by the Bluetooth Special Interest Group (SIG) for the Advanced Audio Distribution Profile (A2DP). [1] SBC is a digital audio encoder and decoder used to transfer data to Bluetooth audio output devices like headphones or loudspeakers. It can also be used on the Internet. [2]
Bluetooth is a short-range wireless technology standard that is used for exchanging data between fixed and mobile devices over short distances and building personal area networks (PANs). In the most widely used mode, transmission power is limited to 2.5 milliwatts, giving it a very short range of up to 10 metres (33 ft).
The origin of facial recognition technology is largely attributed to Woodrow Wilson Bledsoe and his work in the 1960s, when he developed a system to identify faces from a database of thousands of photographs. [6] The FERET program first began as a way to unify a large body of face-recognition technology research under a standard database.
Speaker recognition is a pattern recognition problem. The various technologies used to process and store voice prints include frequency estimation , hidden Markov models , Gaussian mixture models , pattern matching algorithms, neural networks , matrix representation , vector quantization and decision trees .