Computer Vision-Assisted Instant Alerts in 5G

Tseng, Yu-Yun; Hsu, Po-Min; Chen, Jen–Jee; Tseng, Yu–Chee

doi:10.1109/icccn49398.2020.9209751

Cited by 14 publications

(4 citation statements)

References 18 publications

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“…In [129] the detection of risks of collisions was done using cameras and a computer vision algorithm. The algorithm processing was done close to the RSU that sends the warning messages, in unicast or geocast, to vehicles through Rel.…”

Section: V2i Event-driven Messagesmentioning

confidence: 99%

A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologies

Soto

Calderón

Amador

et al. 2022

Vehicular Communications

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Section: V2i Event-driven Messagesmentioning

confidence: 99%

A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologies

Soto

Calderón

Amador

et al. 2022

Vehicular Communications

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“…However, it is limited to one drone. Fusing computer vision and the 5G network for driving safety is proposed in [ 26 ]. A reconfigurable platform for data fusion is presented in [ 27 ].…”

Section: Related Workmentioning

confidence: 99%

The Device–Object Pairing Problem: Matching IoT Devices with Video Objects in a Multi-Camera Environment

Tong

Tseng

2021

Sensors

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IoT technologies enable millions of devices to transmit their sensor data to the external world. The device–object pairing problem arises when a group of Internet of Things is concurrently tracked by cameras and sensors. While cameras view these things as visual “objects”, these things which are equipped with “sensing devices” also continuously report their status. The challenge is that when visualizing these things on videos, their status needs to be placed properly on the screen. This requires correctly pairing visual objects with their sensing devices. There are many real-life examples. Recognizing a vehicle in videos does not imply that we can read its pedometer and fuel meter inside. Recognizing a pet on screen does not mean that we can correctly read its necklace data. In more critical ICU environments, visualizing all patients and showing their physiological signals on screen would greatly relieve nurses’ burdens. The barrier behind this is that the camera may see an object but not be able to see its carried device, not to mention its sensor readings. This paper addresses the device–object pairing problem and presents a multi-camera, multi-IoT device system that enables visualizing a group of people together with their wearable devices’ data and demonstrating the ability to recover the missing bounding box.

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“…The emergence of arti cial intelligence technologies o ers new possibilities to solve this problem. AIoT (Arti cial Intelligence of the Things) combines IoT with AI technologies, thus creating many intelligent applications [2,9,21,25,26,31,38,39].…”

Section: Introductionmentioning

confidence: 99%

An Exchange-based AIoT Platform for Fast AI Application Development

Liang,

Wu,

Tong

et al. 2023

Proceedings of the 19th ACM International Symposium on QoS and Security for Wireless and Mobile Networks

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AIoT is the combination of Internet of Things (IoT) and Articial Intelligence (AI) technologies. While IoT emphasizes more on scalable and e cient communications, AI focuses more on reproducing human capabilities such as recognition and forecasting. An e cient AIoT platform may not be obtained directly from integrating existing IoT and AI serving platforms by considering the AIoT service reproduction and evolution. In this work, we propose an AIoT platform that empowers developers to build sophisticated and scalable applications. Our platform is derived based on exchangebased RabbitMQ broker and Advanced Message Queuing Protocol (AMQP) to facilitate the communications among heterogeneous data sources and AI models. By incorporating an AMQP broker, it supports diverse data exchanges, AI models chaining, and exible message routing and processing. AI models can be deployed e ciently through containerization with exible and shared data paths to facilitate computations. Hence, developers can focus on service and application requirements. We also present a case study in smart healthcare to validate our design. CCS CONCEPTS• Software and its engineering → Software creation and management; Software system structures; • Networks → Network services.

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Computer Vision-Assisted Instant Alerts in 5G

Cited by 14 publications

References 18 publications

A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologies

A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologies

The Device–Object Pairing Problem: Matching IoT Devices with Video Objects in a Multi-Camera Environment

An Exchange-based AIoT Platform for Fast AI Application Development

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