Urban waste management is a global issue due to rapid urbanization and population growth. Innovative technologies like garbage monitoring systems (GMS) and IoT help monitor waste generation patterns and optimize collection schedules. Advanced treatment methods, waste-to-energy plants, recycling facilities, and smart sorting technologies can reduce urban waste’s environmental impact and promote sustainability. However, widespread implementation requires further research and investment. Sensor-based systems, waste-to-energy plants, and advanced recycling facilities can increase recycling rates and minimize environmental impact. Smart technologies like convolutional neural networks and deep learning models can optimize waste segregation and operational efficiency. Robotics and AI can improve waste collection, sorting, and recycling processes, but further research is needed to address environmental impact and cost-effectiveness. Future research should focus on advanced G-IoT applications, cybersecurity concerns, and evaluating the impact of IoT on waste reduction and resource optimization