The primary goal of this question is to gather insights and solutions for implementing IoT-based real-time inventory tracking in vending machines. The challenges outlined address key aspects of the project, such as sensor selection, data transmission, system integration, data security, and cost-effectiveness. By providing detailed project objectives and specific challenges, the question seeks to engage the Stack Overflow community in providing practical advice, best practices, and examples from their experiences

What I Have Tried:

• Sensor Selection: Researched and shortlisted a few sensors (e.g., load cells, infrared sensors) that can accurately monitor inventory levels.
• Connectivity Options: Considered using Wi-Fi and cellular networks for data transmission. Tested initial setups but faced intermittent connectivity issues.
• Data Processing: Set up a basic cloud infrastructure using AWS IoT Core to collect and process data from the sensors.
• Prototype: Built a basic prototype with an Arduino board and a load cell to measure stock levels and send data to AWS IoT Core. The prototype works, but the accuracy and reliability need improvement.

What I Am Expecting:

• Recommendations on the best type of sensors for accurate and reliable inventory tracking.
• Solutions for ensuring stable data transmission in areas with poor connectivity.
• Tips on power management for IoT devices in vending machines.
• Advice on integrating the new IoT components with our existing backend system.