License plate recognition using neural architecture search for edge devices. Issue 12 (24th May 2021)

• Record Type: Journal Article
• Authors: Shashirangana, Jithmi; Padmasiri, Heshan; Meedeniya, Dulani; Perera, Charith; Nayak, Soumya R.; Nayak, Janmenjoy; Vimal, Shanmuganthan; Kadry, Seifidine
• Is Part Of: International journal of intelligent systems. Volume 37:Issue 12(2022)
• Page Start: 10211
• Page End: 10248
• Publication Date: 2021-05-24
• Subjects: automatic license plate recognition -- edge devices -- intelligent systems -- neural architecture search; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; 006.3
• DOI: 10.1002/int.22471
• Languages: English
• ISSNs: 0884-8173

Abstract

Abstract: The mutually beneficial blend of artificial intelligence with internet of things has been enabling many industries to develop smart information processing solutions. The implementation of technology enhanced industrial intelligence systems is challenging with the environmental conditions, resource constraints and safety concerns. With the era of smart homes and cities, domains like automated license plate recognition (ALPR) are exploring automate tasks such as traffic management and fraud detection. This paper proposes an optimized decision support solution for ALPR that works purely on edge devices at night‐time. Although ALPR is a frequently addressed research problem in the domain of intelligent systems, still they are generally computationally intensive and unable to run on edge devices with limited resources. Therefore, as a novel approach, we consider the complex aspects related to deploying lightweight yet efficient and fast ALPR models on embedded devices. The usability of the proposed models is assessed in real‐world with a proof‐of‐concept hardware design and achieved competitive results to the state‐of‐the‐art ALPR solutions that run on server‐grade hardware with intensive resources.