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Affordable drone delivery of food, grocery and medicine to residents in the Michigan Central Station Impact area.

With drone, we can deliver necessary items like food, grocery, medicine, etc. in a fast and affordable way to the residents.

Photo of Vinh Nguyen
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We can deliver any items that are less than or equal to 5lbs in weight and within 7 miles in distance from the starting point (pharmacy or supermarket) to the destination point (intended consumer in the impact area).  

The items could be a prescription or over-the-counter medicine from a pharmacy, fresh or frozen grocery from a supermarket or freshly made food from a restaurant to the resident in the impact area.

Our delivery drone does not need to land to pick up or drop off an item. Our drone will drop a wire with a latch, then the merchant needs to hook up the intended item to the latch.  Our drone will carry the item to the address provided by the customer.  Once at the destination, our drone will lower the item through the wire and drop off the item.  We then notify the customer that the item is delivered.

Our solution is 

1) Fast since we fly above the traffic, we do not encounter traffic jam, and do not need to stop for traffic light.  Furthermore, we fly in a straight line manner so we are fast in delivery.

2) Affordable since we do not use human driver.  After the initial development, the cost of delivery is just the battery consumption so our solution is cheap and affordable to the residents of the impact area.  We intend to charge $1 for each delivery.  And with this price, it will be affordable to the residents in the Michigan Station Central impact area.

3)Universal since the resident in the impact area can use our solution with a phone call or using our website or our app.  And our service is available 24 hours so we can provide delivery in case of urgency or emergency.

4) No required to change the current infrastructure.  Since we fly above the ground, our solution is not required to change the ground structure. 

In case of the item is heavier than 5lb limitation, we can divide the item into smaller packages and deliver in 2 delivery trips.


How will your solution benefit residents, workers, or visitors in the Michigan Central Station impact area? (1,000 characters)

Anyone can use our solution even he or she does not have a computer or a smartphone. This user can either reside inside the impact area or live outside the area. For example, the user lives in the impact area, but does not have a way to access our website. He or she can call us or use our website to place an order. The user can call someone who lives in the impact area or outside the area who has access to the internet to place the order with us through phone call or our website which is https://evinh.com . Once we get the order from our website. with information about the address and the time of delivery, we can execute the order and deliver the item to the intended user. For example, the user calls us to place a delivery order, giving us the merchant location and the item. We'll then contact the merchant for item preparation. Once the merchant notifies us the item is ready for pickup, we will send our drone to pick up and deliver to the intended customer.

Describe your solution's stage of development

  • Prototype - you have built a prototype and tested it with potential users

Insights from previous testing (500 characters)

We have delivered one item from a starting point to a destination with a distance of 250 feet apart and with a weight of 1 pound. Here is the video link to our initial testing: https://www.youtube.com/watch?v=zUXn5QoyxJ4 We designed our drone with 2 extra propellers to push it fly forward. With these 2 extra propellers, our drone flies faster and covers more distance than ordinary drones, making sure that our drone can fly far and still have enough battery to return home.

Tell us about your team or organization (500 characters)

We have 2 critical contributors in our team: 1. Mr. Vinh Nguyen is the CEO of the company. He has a BSEE degree in Electrical Engineering and has 30 years of technical and managerial experience. 2. Dr. Nikos Mourtos is an advisor to the company. Dr. Nikos J. Mourtos is a professor and the Chair of the Aerospace Engineering Department at San Jose State University (SJSU). He has insight working of aerospace. More about our company, please visit https://evinh.com

Size of your team or organization

  • 2-10

Team or Organization URL

https://evinh.com

Are you submitting as a student team?

  • No

Are you submitting as a team from the Impact Area?

  • No

Funding Request

  • $100,000

Rough Budget (500 characters)

$20,000 to buy equipment and material, $60,000 to pay for employees, $20,000 to pay for expenses

Describe how you would pilot your idea (1000 characters)

During the pilot phase, we extensively test our drones at our facility to save cost. Once we have done testing and master the process, we will bring the equipment and expertise to test in the impact area. Since our idea is scalable and independent of location, we will utilize our expertise and resource here in Silicon Valley to further test our drone. With local testing, we will keep our budget under control and would be able to keep the cost of test under $100,000. With our initial test, we were able to take off vertically from our facility, and flew to a transit location, hovered to pick up the item and then flew to the destination to drop off the item. We believe that we can easily replicate this procedure to any future delivery.

Describe how you would measure the success of your pilot (1000 characters)

As long as we get an order from a test user, we fly our drone to the pickup location and fly to the destination user and drop off the item. We believe that with our extensive testing at our local facility, when it's done, we know certainly that we will succeed at the Michigan Station Central impact area. Our drone and testing are scalable and reproducible at any locations.

Sustainability Plan (500 characters)

Yes, we strongly believe that our idea will be scalable to any area in the US. Since we do not need to map the streets nor learn about traffic light of a particular area, our solution is applicable to any city in the US or in the world.

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