Integration of Vision IoT, AI-based OCR and blockchain ledger for immutable tracking of vehicle’s departure and arrival times

Publication Type

Conference Proceeding

Publication Date (Issue Year)

2023

Journal Name

ACM International Conference Proceeding Series

Abstract

Vehicle based logistics are hinged on their ability to timely deliver goods, services, and people. The classical expression of “time is money” comes alive in the logistics industry yielding potentially huge financial and health consequences in case of missing deadlines. This is especially the case for time sensitive pharmaceuticals, delivery of perishable goods, delivery of people travelling, delivery of services in fault fixing/recovery sector. All these use cases motivate the need for an immutable, secure, and immortalized process of tracking time. To solve this challenge, this paper presents prototype-based research that integrates the 4th industrial revolution technologies of vision Internet of Things (IoT), Artificial Intelligence (AI)-based Optical Character Recognition (OCR) and blockchain. The developed prototype features a Raspberry-PI board embedding a camera, an Artificial Intelligence (AI) model to recognize plate letters from the image and a crypto wallet to sign the logging of plate number and time events on the NEAR blockchain, an emerging sharded, proof-of-stake, layer-one blockchain that is simple to use, secure and scalable. The effective operation of the developed prototype has been validated inside a campus parking and shows an accuracy of 80%. The benefits of transparency, security, and immutability of the blockchain combined with the intelligence, data capture, and processing of IoT will enable to develop accountability solutions trusted by all different logistic stakeholders.

Keywords

Integration of Vision IoT, AI-based OCR, Blockchain Ledger, Immutable, Tracking of Vehicle's Departure, Arrival Times

Rsif Scholar Name

Eric Nizeyimana

Rsif Scholar Nationality

Rwanda

Cohort

Cohort 2

Thematic Area

ICTs Including Big Data and Artificial Intelligence

Africa Host University (AHU)

University of Rwanda (UR), Rwanda

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