Best Ideas 2020 features all the nominated entries submitted under ‘Submit your Idea’ category. All the entries consist of innovative solutions or propositions for an enterprise that champions the Sustainable Development Goals. They can be on the conceptual, planning, or start-up stage.
ZeroDrones: Delivery Drone Service to deliver medical supplies and food to health care workers and v
Explain your idea in details:
The purpose of this project is to utilize drones in order to deliver medical supplies and food to vulnerable people without them having to leave their buildings where risk of contamination is much higher. The problem with the modern methods of food delivery is that the food is transported through multiple checkpoints. Each checkpoint means exposure to more people, meaning more likelihood of virus contamination before the food item in question even reaches the store. The fact of food and medical supplies being transported on a truck and then to store means that there are more opportunities for any virus to intercept and contaminate the product before it reaches the end consumer. This is especially problematic for at-risk populations such as elderly and those with underlying health conditions. By using drones that use neural networks to recognize objects, food and medical supplies can be transmitted directly to the consumer, reducing the possibility of contamination. This is especially useful for people who are house-bound or not able to go to the grocery store. The drones will use neural networks made using TensorFlow (neural networks in Python) in order to recognize the appropriate delivery spots for the food and medical supplies.
Expected impact of your idea on sustainable development
The impact of this idea will be the reduction of COVID cases as well as COVID deaths. By reducing the amount of places that a food or medical supply delivery goes to (including the store), there is a far less likelihood that the goods in question will be contaminated by the virus before they reach the final consumer. The target is that these drones will be used by individual hospitals, grocery stores, and elderly-care agencies. The way to assess success is by how many different organizations sign up to use this drone service. The hope is that every major hospital in the world (especially hospitals serving areas that are highly impacted by COVID-19) will be able to utilize these drones to transport medical supplies to those hospital branches that are in the most desperate need of them.
Plans for implementation and sustainability
Collaborators will be hospitals, elderly care agencies, grocery stores, supermarkets, as well as community outreach programs. The business model will be a subscription service. Every organization who wishes to use the delivery drones will have access to fifteen drones each month. If the given organization wishes to get more drones, they can pay an additional fee to acquire more drones for delivery. Another collaborator will be drone manufacturers who actually create the drones that will be supplied to the individual agencies.
My name is Gaurav Mahindru and I am a 2nd year university student in California. Since senior year of high school, I have become particularly interested in how is it that machines are capable of perceiving the world. Human-beings have had a long period of evolution to shape their senses to be accurate enough to perceive and act in the world. However, robots and artificial intelligence have not been able to have this extensive period of evolution in order to determine which phenomena is worth paying attention to and which phenomena isn't. Because of this interest, I started to look into neural networks and how it is possible to train machines to observe objects at the same resolutions that human beings are able to. By figuring this out, it is possible to create fully autonomous machines that are capable of carrying out live-saving actions such as putting forest fires out or delivering supplies to health care workers during the pandemic. I have written numerous academic papers that are currently under review by the Journal of Intelligence, Oxford Philosophical Quarterly, Cambridge, and the British Journal of Aesthetics.