Cloud Computing-Based Cat-Dog Detection
Team Members
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Jemish Moradiya
Meet Kiritbhai Makadiya
Barun Chakroborty
Md Shahinur Rahman
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Cloud computing has revolutionized the way we approach various technological applications, and one area where it has made significant strides is in image recognition and object detection. Cloud computing, combined with Raspberry Pi, MinIO, a cluster, and MQTT (Message Queuing Telemetry Transport), can create a powerful and distributed dog detection software system. Dog detection software, powered by cloud computing, is an innovative solution that utilizes advanced algorithms and machine learning techniques to identify and locate dogs in images or video streams.
The primary purpose of dog detection software is to automate the process of identifying and recognizing dogs within a given visual input. This technology finds applications in diverse fields, including security and surveillance systems, animal welfare organizations, pet services, and even in social media platforms.
Cloud computing provides the foundation for scalability, storage, and computational power, while Raspberry Pi acts as the edge device for processing dog detection requests. MinIO, a distributed object storage system, offers reliable and scalable storage, and MQTT enables efficient communication between the Raspberry Pi devices and the cloud. The software scans the visual data, searching for characteristic dog features, such as shapes, sizes, colors, and textures. It compares these features against a pre-trained model or a vast database of dog images to determine if a dog is present. Once the dog detection process is complete, the software generates an output indicating the presence and location of dogs within the images or video frames. This information can be used for various purposes, such as real-time monitoring, generating statistics, or triggering automated actions. The output from the dog detection software can be integrated into different systems or platforms, depending on the intended application. For example, it can be used to alert security personnel of dog presence in restricted areas or to categorize and organize dog-related content on social media platforms.