Deep Learning-Based Object Recognition

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To enhance the security of the business premises, display notices at the appropriate locations, and understand human interactions when shopping.
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The requirement of the security system is to autonomously identify unknown persons entering a particular area or premise.
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The system is also required to conduct a count of the number of vehicles passing by a predefined location.
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The client organization faces a security problem pertaining to their business and therefore decided to explore the development of a highly efficient and intelligent application that is capable of tracking possible security threats.

Overall, the implementation of the above mentioned system is expected to enhance the security of the business premises, display notices at the appropriate locations, and understand human interactions when shopping.

Axiata Digital Labs developed the required intelligent application by gathering data through real-time CCTV camera streams and processing the visual feeds via deep learning models to recognize objects and people.

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