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Energy Efficient Smart Vision Systems

Project researchers

Ultra-low power architectures for always-on vision nodes. We are building an energy efficient digital architecture to exploit low-power multi-cores platforms (i.e. programmable PULPv3 platform) in combination with imagers consuming microwatts to enable wireless applications for the Internet of Things, requiring computational power and mobility. In cooperation with other research unit at FBK and external partners.

Publications:
[1] Rusci, M., Rossi, D., Lecca, M., Gottardi, M., Farella, E., & Benini, L. (2016). An Event-Driven Ultra-Low-Power Smart Visual Sensor. IEEE Sensors Journal, 16(13), 5344-5353. Dataset: https://www.youtube.com/playlist?list=PLTRKQI0J5HcJ_VEJFIAAJQRhBVjNt3SAS
[2] Rusci, M., Rossi, D., Lecca, M., Gottardi, M., Benini, L. & Farella, E. (2016). Eergy-efficient design of an always-on smart visual trigger. Smart Cities Conference (ISC2), 2016 IEEE Second International, Trento, 2016.
[3] Rusci, Manuele, et al. "A sub-mW IoT-endnode for always-on visual monitoring and smart triggering." arXiv preprint arXiv:1705.00221 (2017).
Always-on Monitoring and Smart triggering application:  https://www.youtube.com/playlist?list=PLTRKQI0J5HcIxJ9hGYMauhYKZXHwDeAp6

Date: 
Wednesday, 2 December, 2015
Partners: 

CMM, TEV, E3DA, UNIBO, ETHZ