Abstract:
In an era of environmental awareness and innovative technology, our final year project represents a
significant breakthrough in the field of cold storage solutions. We present a smart, eco-friendly cold storage
with modern technologies like Object Detection and Adaptive Temperature Control to increase the
storage time and minimize the temperature changes so the fruits and vegetables can be stored and remain
fresh for a longer amount of time. We included Object Detection for accurate object identification and
intelligent temperature control which will further improve the performance of our system and reduce its
carbon footprint. Our cold storage not only reduces carbon emissions but also optimizes energy usage,
making it a sustainable and cost-effective option. The Object Detection component of the system uses
computer vision to recognize objects within the cold storage and dynamically changes the temperature to
ensure optimal preservation based on the kind and number of contents. It will also give us information related
to the product (for example the apple is stale or fresh). The AI model was first trained to identify the different
objects through number of experiments then the model was tested through different experiments. The whole
information will be displayed on the internet so we can access the data of the cold storage any time anywhere.
The temperature and state of the fruits will also be displayed on the LCD. Finally, the whole setup will be
installed inside the storage for its accurate working. This project combines sustainability, energy efficiency,
and artificial intelligence to promise a breakthrough in cold storage technology that will help a variety of
industries, including agriculture, food preservation, and healthcare. The smart temperature management
system is a key component that distinguishes our project. Traditional cold storage systems sometimes suffer
from inefficiencies as a result of continuous temperature settings that do not account for the unique needs of
various goods. Our system's dynamic temperature changes ensure that each variety of fruit or vegetable is
stored optimally, preventing spoiling and increasing shelf life. This personalized technique not only enhances
the quality of stored product, but it also saves energy because the technology avoids excessive chilling.
Furthermore, the integration of real-time monitoring and data access via the internet gives consumers
unparalleled control and supervision over their storage units. This function is especially useful for large
scale enterprises like commercial farms and food delivery centers, where keeping produce fresh is important.
The future of cold storage is here, and it's smart, green, and powered by cutting-edge artificial intelligence
technology. Our systematic approach has the potential to alter the cold storage industry by increasing
efficiency, lowering environmental impact, and making advanced storage solutions more accessible to a
diverse range of consumers. By integrating innovative technology with eco-friendly methods, we want to
create a new standard for cold storage systems globally.