our history

meet kuri

pet & person detectionplace recognitionmoment selectionface detection

pet & person detection

Kuri’s embedded GPU: if we want to process 5 frames a second, we can only use ~2.5 GMACs/frame

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Howard, Andrew G. et al. arXiv preprint 2017 (all authors from Google)

Framework Model mAP Billion Mult-Adds

Single Shot Multibox Detector

300x300

VGG 21.1% 34.9Inception V2 22.0% 3.8MobileNet 19.3% 1.2

pet & person detection

place recognition

•Uses feature vectors from intermediate layer of object detection network

•Cosine distance of vectors -> difference score

Useful for:

Mapping loop closures

Global localization

“ConvNet features for Place Recognition,” Sunderhauf et al, IROS 2015

place recognition

moment selection

X

X

face detection

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Zhang, Kaipeng. et al. Signal Processing Letters, 2016

BEEP BLOOPKAIJEN HSIAO | ROBOTICIST & CTO | @KURIROBOT