Dhiraj JindalFounder, Patent Yogi LLC
Dhiraj Jindal is founder of patent services firm Patent Yogi LLC, a new kind of patent services firm that simplifies the patent process for Dhiraj Jindal is founder of patent services firm Patent Yogi LLC, a new kind of patent services firm that simplifies the patent process for the inventors across the globe. They provide free patentability search service for individual inventors and startups. Dhiraj is a licensed patent practitioner with the United States Patent and Trademark Office (USPTO). He also publishes videos on futuristic patents every week on his YouTube channel (PatentYogi). For interesting daily updates on patents, check their Instagram channel and Facebook Page.
Ugh, the Gregorian calendar is so boring. That’s why we’re disrupting monthly series with a lunar cycle-based series about the best patents of the last synodic month, picked by the PatentYogi team. Get ready when that moon gets gibbous, y’all. We’re a little late for August’s Sturgeon Moon, but we’ll publish new patent round-ups every full moon.
In August 2018, the US patent office issued over 27,000 patents and published over 28,000 patent applications. Each patent asset adds a little something new to the human knowledge base.
As I cannot list all the patent assets that are filed (nobody would read that), my team and I have selected the five most interesting patent assets of August. Enjoy!
1. Uber will alert you next time you forget your stuff in their car (US 20180223584)
Let’s face it. Humans are forgetful. We tend to forget things in a myriad of places. Be it our homes, workplaces, or even while traveling. We are able to locate most of the stuff that we misplace in our homes and workplaces.
However, locating items left behind on public transport, or cabs can prove to be a bit more challenging. Wouldn’t it be helpful if there was a way to receive alerts if we left some of our stuff in cabs? Uber has come to your rescue.
This patent application reveals technology that will enable Uber to determine whether a passenger has left behind an object in a cab after disembarking.
Uber will use multiple sensors installed in the vehicle, including cameras, weight sensors, suspension sensors, and even LIDAR, to determine the number of objects placed in the vehicle once the passenger enters the car. Thereafter, upon the conclusion of the service, Uber will determine whether all objects placed in the vehicle by the passenger have been removed or not.
If an object is detected to have been left behind, Uber will send an alert to the passenger. Uber will also alert the driver to stay at the drop-off location for a pre-set amount of time so that the passenger may be able to retrieve the said object.
2. Amazon invents one-blink ordering, to replace one-click ordering (US20180218371)
Amazon filed its well-known and controversial patent for one-click ordering in 1997. The one-click ordering process is behind many present-day purchasing methods that allow us to seamlessly trade over the Internet.
Last year (i.e. in 2017), the one-click ordering patent expired, causing some loss of revenue for Amazon, as many companies (including Apple) paid huge royalty fees to Amazon for licensing the one-click ordering patent.
So, Amazon has come up with the next generation ordering system — the one-blink ordering system. The new system allows customers to place orders with just a blink of an eye. The patent for the one-blink ordering system may allow Amazon to repeat the success of the one-click ordering patent and revolutionize the shopping experience once more.
Amazon’s one-blink ordering system requires that a user undergoes a one-time configuration phase to register her face with her Amazon account. Thereafter, when the user tries to order an item using her smartphone, the one-blink ordering system uses the camera of the smartphone for authenticating the user before initiating the transaction.
During the authentication, the user is asked to perform an action, such as blink the right eye. If the user performs the correct action, the one-blink ordering system authenticates the user as a real human and processes the order immediately.
3. Uber’s transition plan to autonomous cars (US20180224850)
It’s well known that Uber plans to use Autonomous Vehicles (AVs) in their fleet. However, it’s challenging to use the AVs on the roads. But Uber has chalked out a detailed plan to transition from the current human-driven vehicles to fully automated vehicles. A recent patent application from Uber reveals their transition plan.
According to the Society of Automotive Engineers (SAE), vehicle autonomy ranges from level-0 (i.e., no driving automation) to level-5 (i.e., full driving automation). Tesla with the autopilot assist is at level-2 autonomy (i.e., partial automation).
However, a level-5 vehicle will be fully automated and will come without any steering wheel, brake pedal, or accelerator pedal. Until the technology matures to level-5 autonomy level, Uber plans to use human assistants to remotely guide the AVs in their fleet.
Uber’s AV will include a tele-assist module that is activated whenever the vehicle encounters a situation where the vehicle is unable to make a decision. In such situations, the vehicle generates multiple decision options to tackle the tele-assist state. These decision options correspond to commands such as a wait command, an ignore command, a maneuver command, or an alternate route command.
The vehicle shares these decision options with a remotely located human assistant. The human assistant analyzes the surrounding area of the vehicle by accessing the sensors to understand the situation.
Then the human assistant chooses the best decision option out of the available decision options. Thereafter, the decision option selected by the human operator is implemented by the AV by controlling acceleration, braking, and steering systems of the AV.
Moreover, these AVs learn using neural networks. Therefore, as these AVs ply on the roads, they will quickly learn to tackle difficult situations on their own without requiring help from human assistants. This will help in transitioning to level-5 autonomy gradually.
4. Boeing’s energy harvesting airport (US20180226860)
Airports are known to be big energy dumps. Especially the large international airports consume tremendous amounts of energy. For example, the Heathrow international airport consumed 485,000 MWh of electricity in 2016.
However, airports are the cornerstones of travel and connectivity around the world. It’s therefore incredibly important to reduce their carbon footprint. Boeing has come up with unique technology to transforms the airports into energy farms.
Boeing’s energy harvesting airports can capture and harvest the energy of the thrust operations of airplanes. Simply put, Boeing intends to use the energy dissipated from airplanes (which is currently lost to the environment) to generate electricity.
The runway surface at the energy harvesting airports includes multiple doors which are configured to open to cavities housing wind turbines. The turbines are then connected to electricity generators.
When an airplane is about to take-off from the runway, the doors of the cavities are opened to capture the thrust energy expended by the airplane. The blades of the turbines rotate and lead to the generation of electricity. The generated electricity may be used at the airport or shared with a grid.
5. Amazon warehouse workers to get state of the art AR equipment (US 20180218218)
Locating an item in an Amazon distribution center can be quite difficult due to the sheer size of these centers and the huge number of items they store. For example, Amazon’s distribution center in Dunfermline, Scotland, covers a million square feet (approximately 23 acres) of land area. That’s nearly the size of 14 football fields.
Therefore, an average warehouse worker ends up wasting a significant amount of time figuring out a way to reach a desired location. The situation is even worse for new workers.
Further, earlier this year, Amazon was criticized for “brutal” working conditions in Amazon warehouses, where workers were afraid of going to the bathroom and missing their strict targets.
Therefore, Amazon has invented wearable glasses which will automatically assist workers in the distribution centers in locating items of interest. Amazon’s wearable glasses will provide workers turn-by-turn directions right in front of their eyes in order to navigate them to an item of interest.
Amazon’s wearable glasses would enable their workers to work efficiently and effectively at the fulfillment centers.
Look out for the latest lunar cycle-based patent update every full moon. Fun fact, next up is the Harvest Moon and it’s the only full moon name which is determined by the equinox rather than a month. Most years it’s in September, but around every three years, it’s in October. This year it’ll be September 25.
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