Enhancing cold storage efficiency using image processing and IoT-enabled notifications.

Effective administration of cold storage facilities plays a significant responsibility in maintaining the quality of perishable items and reducing wastage within the supply chain. This study unveils a creative method that employs the combined pros of image processing, the Internet of Things (IoT), and a notification system to enhance the efficiency of cold storage procedures. The IoT framework enhances this system by enabling seamless communication between the cold storage framework and a central monitoring hub. The proposed paper mainly focuses on real-time monitoring of the cold storage environment and if there is any power outage notification will be sent to the person through SMS using GSM. The notification system is integrated to provide timely alerts to relevant stakeholders. In the current implementation of the project, the DHT11 Temperature and Humidity Sensor, the MQ-3 Ethylene gas sensor is integrated into a low-cost and Wi-Fi-enabled Node-MCU Microcontroller for Cold Storage monitoring purposes. The Node-MCU posts data to a cloud-based platform, where they are dealt with and scrutinized. Integration of image processing techniques assists real-time monitoring of cold storage environment. Cameras placed strategically within the storage units capture images of stored goods, enabling the system to analyze factors such as product quantity, placement, and quality. Advanced image analysis algorithms identify anomalies, spoilage, or potential issues, thus securing the upkeep of product integrity throughout the storage duration. This real-time responsiveness minimizes the risk of product spoilage and verifies adherence to regulatory standards. [ABSTRACT FROM AUTHOR]