PinPoint
Description:
PinPoint is a low-cost and low-power clap detection and locating system. Designed using two Analog Devices Blackfin DSP and two Raspberry Pi W in a mesh/client-server configuration allows for wide-area clap detection and location. The Blackfin DSP dedicates its full compute power towards analysing claps, while the Raspberry Pi Zero W handles connectivity and server interfacing.
Implementation
PinPoint is composed of several sub-systems known as a node. Each node contains the following:
- Analog Devices BF706 Digital Signal Processor (DSP) Development Board
- Raspberry Pi Zero W
- Raspbian Stretch Operating System running Apache
- 2 Edutige ETM-001 MIcrophones
The DSP deploys a matched filter algorithm that is characterized towards claps by defining a specific activation threshold
PinPoint's Team:
- Tommy Le
- Steven Long
- Kevin Wong
- Joseph Tran
Project status:
Active
Department:
EECS
Term:
Fall
Academic year:
2018-2019
Fall Poster:
Winter Poster:
