Mobile-SAM in everyday object recognition application
The digital transformation of educational tools has opened avenues to enhance cognitive development in children, particularly in recognizing and naming everyday objects. The development of the application aims to utilise the advancements of Computer Vision (CV) and Segment Anything Model (SAM)...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175953 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | The digital transformation of educational tools has opened avenues to enhance cognitive
development in children, particularly in recognizing and naming everyday objects. The
development of the application aims to utilise the advancements of Computer Vision (CV)
and Segment Anything Model (SAM) to create a more interactive and technologically
enriching experience for children. This project will integrate SAM, specifically MobileSAM
variant that is optimized for mobile platforms, and GroundingDino framework to deliver an
engaging user interface. The project is also backed by extensive research and testing to select
the most suitable CV model, ensuring a seamless interaction with real time image processing
capabilities. |
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