ejeai Open Access Journal

European Journal of Emerging Artificial Intelligence

eISSN: Applied
Publication Frequency : 2 Issues per year.

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ARTICLE

ADVANCING AFRICAN COMPUTER VISION: PROGRESS, CHALLENGES, AND PATHWAYS FOR GROWTH

1 Department of Electrical and Computer Engineering, University of Khartoum, Sudan
2 School of Computer Science and Applied Mathematics, University of the Witwatersrand, South Africa

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Abstract

Computer Vision (CV), a rapidly evolving field within Artificial Intelligence (AI), holds immense potential for addressing a wide array of societal and economic challenges globally. While a significant portion of global CV research is concentrated in a few established regions, there is a burgeoning and distinct landscape of CV innovation emerging across the African continent. This comprehensive article provides an in-depth overview of the current state of computer vision research in Africa, strictly adhering to the IMRaD (Introduction, Methods, Results, and Discussion) format. It meticulously identifies key research areas, highlights unique contributions, explores the multifaceted challenges faced by researchers, and discusses promising opportunities for future growth and collaboration. By critically examining recent scholarly work and survey insights, this paper aims to illuminate the dynamic trajectory of computer vision research in Africa and underscore its growing significance in the global scientific and ethical discourse on AI. The findings reveal a problem-driven research agenda, a critical engagement with data and ethical considerations, and a strong emphasis on fostering intra-African and international collaborations to build sustainable research capacity.


Keywords

Computer Vision, Artificial Intelligence, Africa, Research Trends

References

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How to Cite

ADVANCING AFRICAN COMPUTER VISION: PROGRESS, CHALLENGES, AND PATHWAYS FOR GROWTH. (2024). European Journal of Emerging Artificial Intelligence, 1(01), 1-16. https://parthenonfrontiers.com/index.php/ejeai/article/view/45

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