Approximate Query Processing on Autonomous Cameras

09/02/2019
by   Mengwei Xu, et al.
0

Surveillance IoT cameras are becoming autonomous: they operate on batteries without connecting to power wires, and run analytics without help from external compute resources. Such autonomous paradigm significantly frees video analytics from privacy concern and deployment constraint. However, they are constrained by limited energy and on-device compute resources. We present a system AutCam to support counting query, an important query class, on autonomous cameras. The system is built atop three key ideas. First, AutCam identifies and utilizes the rich trade-off between sample quality and sample quantity on a given time window. Second, AutCam introduces a split-phase sampling planner to judiciously allocate energy across multiple time windows, and also balance the capture and process energy. Third, AutCam constructs a unified bounded error by integrating the errors from both sampling and inaccurate neural networks. Tested on over 1,000-hour videos, our prototype of AutCam can provide good estimation of ground-truth object counts with bounded, narrow error under typical solar-harvested energy, and achieve up to 10X energy saving over baselines.

READ FULL TEXT

page 8

page 10

research
04/28/2019

Supporting Video Queries on Zero-Streaming Cameras

As low-cost surveillance cameras grow rapidly, we advocate for these cam...
research
11/20/2019

REVAMP^2T: Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking

This article presents REVAMP^2T, Real-time Edge Video Analytics for Mult...
research
07/05/2023

Utility-Aware Load Shedding for Real-time Video Analytics at the Edge

Real-time video analytics typically require video frames to be processed...
research
11/30/2021

Large-Scale Video Analytics through Object-Level Consolidation

As the number of installed cameras grows, so do the compute resources re...
research
01/03/2018

Adaptive Energy-aware Scheduling of Dynamic Event Analytics across Edge and Cloud Resources

The growing deployment of sensors as part of Internet of Things (IoT) is...
research
11/06/2020

Amadeus: Scalable, Privacy-Preserving Live Video Analytics

Smart-city applications ranging from traffic management to public-safety...
research
05/21/2021

Programming and Deployment of Autonomous Swarms using Multi-Agent Reinforcement Learning

Autonomous systems (AS) carry out complex missions by continuously obser...

Please sign up or login with your details

Forgot password? Click here to reset