Moving on to IoT, let’s discuss its role in waste management.
One popular application is smart bins. Yo smart bins ma chai sensor huncha tyo sensor le container ma
solid waste and liquid ko level monitor garcha as well as sends real time data to the waste management
team. This data helps optimize collection routes, ensuring that only full bins are emptied, saving time
and fuel.
Another application is fleet management. Hamile GPS and IOT device use garera waste collection
vehicles track garna sakchau jasle garda hamile better route planning and efficient use of resource.
Finally, Monitoring Environmental Impact is another crucial aspect. IoT sensors can monitor emissions
and other environmental factors around waste facilities, helping to minimize the environmental
footprint.
For example, smart bins have been successfully implemented in cities like Singapore and Seoul, which
help optimize collection schedules and reduce costs.
Now, let’s look at the combination of AI and IoT and how they work together to optimize waste
management processes.
When combined, AI and IoT allow for Automated Sorting systems, where AI uses real-time data from
IoT sensors to enhance sorting accuracy and increase recycling rates.
AI can also use Real-Time Data from IoT sensors to make on-the-spot decisions for waste collection and
processing, improving efficiency and reducing delays.
This integration also leads to Reduced Costs and Environmental Impact. By optimizing routes
and schedules based on IoT data, AI helps lower fuel consumption and emissions.
A great example of this integration is the San Francisco waste management system, which uses
AI and IoT to promote sustainable city waste management, making the process eco-friendly and
more cost-effective.