Kavli Affiliate: Wei Gao
| First 5 Authors: , , , ,
| Summary:
This paper presents the first nationwide deployment of human activity
recognition (HAR) technology in the on-demand food delivery industry. We
successfully adapted the state-of-the-art LIMU-BERT foundation model to the
delivery platform. Spanning three phases over two years, the deployment
progresses from a feasibility study in Yangzhou City to nationwide adoption
involving 500,000 couriers across 367 cities in China. The adoption enables a
series of downstream applications, and large-scale tests demonstrate its
significant operational and economic benefits, showcasing the transformative
potential of HAR technology in real-world applications. Additionally, we share
lessons learned from this deployment and open-source our LIMU-BERT pretrained
with millions of hours of sensor data.
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