WalabotInsight is useful for crowd counting and pedestrian traffic monitoring which are important for detecting congestion points, optimizing for visitor access, and measuring footfall traffic.
It is important to understand the flow, density, direction, and activity. This allows you to gain business intelligence and insight on public transit buses, within club houses, restaurants, public parks, shopping centers, event venues, theme parks, and other public attractions
WalabotInsight can also be used by security personnel and fire marshals to estimate the number of patrons in a venue and ensure fire code compliance and guest safety.
Perimeter Alert System for Security Monitoring
Think of a cool security feature using which you can receive alert/s through Alexa if someone (and how many ?) has/have crossed a configured perimeter range (fence, wall etc). Just not that, you also get the information on what the intruder is equipped with - knife, gun and/or bunch of other metallic tools. Such information can help the user to take a feasible action early and can help avoid any threats.
Think of a 360 degree rotatable focus light that is controlled by Raspberry Pi. The Pi processes input received by the Walabot and accordingly rotates the focus light on to the intruder.
This all can be configured and controlled using Alexa in real-time or in non-real time depending on the situation. This idea can be used to provide a complete outdoor security solution with add-on features. Very much looking forward to receive feedback/inputs on the tuning of this concept and transform it into a reality.
Vital Sign Monitoring and Visitors Monitoring in Hospital Wards
Usually at hospitals people who come to visit the patient tend to stay more than the visiting hours until the hospital warden comes to tell them to leave the patient to take rest and vital sign monitoring plays a major role in giving care for the patient at the right time when no one is next to them when they are in bed.
Using Walabot with Raspberry Pi, we can send vital sign status of the patient as well as count the number of people in the room on a regular basis and notify the wardens in the hospital wing regarding their patients.
Say, after visiting hours , when the warden asks Alexa, check wards for visitors, alexa can check all the wards and notify the warden with the list of wards that are still having visitors. Similarly, alexa can also notify by giving voice alerts on the warden's table when any patient in their wing is facing any pulse issues by saying Warden, seems this particular patient in this ward is facing issues with his pulse.
Garage Occupancy Detector
There is a wide range of interesting projects that were submitted for this contest. However I'm interested in a more practical one that can solve an issue we are facing. Some people have a tandem garage that can fit two cars only one in front of the other.
The problem to solve with Walabot and Alexa is to determine how many cars are in the garage and in what sequence, in order for the person that leaves first to grab the appropriate set of keys: "Hey Alexa which car is first?" Or asking Alexa whether the spouse's car is already in the garage? I know this is not very glamorous but it solves a practical problem.
Alexa Controlled Semi - Autonomous Water Vending Robot
The Robot with motors, wheel encoders, power bank, charging terminals, L298N and Raspberry Pi Zero W is developed and a charging dock is setup. The robot uses the walabot sensor connected with raspberry pi zero w to avoid obstacles on the path. The charging dock is setup in such a way that there is a water vending machine on top of it with a pipe exactly pointing at the glass kept on top the robot. The water vending machine is modified to work over the internet using ESP8266 and other electronics and connected to AWS IoT services to be operated over the internet.
The map of the house is taken as the reference and the charging docking station is fixed at one point in the map. Based on wheel encoders, the robot is stabilized to move on straight line and spot rotate to take left and right turns at particular angles by switching the L298N Motor driver using the raspberry pi zero w output pins based on wheel encoder readings and algorithm running on the raspberry pi. Wallabot helps us in navigating when there are objects on the path. The path is tracked and saved on the raspberry pi to go back to the charging dock.
Based on alexa commands, the water vending machine fills one glass of water and then stops, the robot will carry to water to the place you want to bring it and go back when you say the go back command.
Say you are sitting on the bed, say Alexa, bring water to my bedroom. The water vending machine will fill glass on top of the robot and the robot will navigate to your bed room with the glass of water, and when you are finished with the glass of water, you can keep the glass back on the robot and say, Alexa, go back to charging dock, the robot will go back to the charging dock to wait for someone else to call.
Automatic detecting and counting vehicles on roads and highways is essential for many applications including motioning traffic intersections, detecting congestion, predicting traffic flow and regulating traffic lights. However, it is still a very challenging problem due to different conditions such as light level and weather impacting the performance of traffic counting cameras. A better system is needed to reliably detect and differentiate cars in low light conditions. Walabot is a perfect solution.
We have a traffic monitoring setup above a major highway in Toronto. We will add Walabot to this setup to enhance the accuracy of vehicle detection throughout the day and night. We will then use Amazon Echo to set up alerts about the level of traffic, suggest best times to travel and propose things to do while they're waiting for reduced traffic.
Pull-up and chin-ups are essential parts of most strength training routines. Achieving proper form is important to avoid injury, but is difficult to do without a personal trainer. In this project, the goal is to create such a trainer using Walabot and Amazon Echo. Walabot will be used to measure the form and position, counting the pull-ups and chin-ups and machine learning will be used to access the correct form. Amazon Echo will be used to provide feedback and encouragement so that the training routine is safe, efficient and fun. After we build a use case around pull-ups, we plan to extend what we learn to other exercise routines such as aerobics and dancing.
Where's my husband?
With the ability to track where various moving entities are in the home, combined with general shape recognition, Where's My Husband will track the general location of your family (and any other moving entities) on a continuous basis. It will make notes about where objects have been, particularly smaller animals which have been identified as pets.
Amazon can be used to query some of the activities of the various tracked entities, such as "Alexa, where's my husband?" (perhaps with the answer, "He's currently downstairs"). The last known activities for various entities can be queried such as "Alexa, when's the last time the cat had some water?". Combined with the soon-to-be-released notifications capabilities, Alexa might even be able to, in near real time, notify the owner if any of the activities require attention ("The small child has left the house through the patio door").
Alexa, is there a vacant toilet?
I am working in an office, where there is small number of toilet cubicles compared to the number of employees. It happens quite frequently that all toilets are occupied and you have to wait or try your luck later.
Let’s use Walabot and Alexa to make the toilet visits more successful and save energy for lighting.
Walabot would be installed on the ceiling of the restroom. Because it is not taking any high resolution pictures like a camera, it does not threat the toilet privacy. Walabot monitors the occupancy of the toilet cubicles and sends the information to Alexa. Alexa can afterwards answer me the ultimate question of life, Universe and everything: “How many vacant toilets are there?”. If there is no free toilet, it notifies me whenever one gets free. No more waiting, no more unsuccessful visits, hooray!
Furthermore, if the Amozon Echo Plus with smart light bulbs is used, the light can be switched off automatically when there is nobody in the cubicle to save energy.
Personal Assistance Robot for Medical Applications
We would like to use the Walbot and Alexa to control a bipedal robot. We would add voice control for the Alexa to communicate with the robot, and use the Walbot to help with completing the tasks. Such tasks will include navigation, person monitoring for health, possible fall detection, and basic chores if time permits.
When racing sailboats it's always important to keep the hull of the boat moving through the water with the least amount of drag, oftentimes, kelp or other debris may become attached to the underside of the boat, usually at the keel or rudder, which significantly increases drag and has a detrimental and sometimes catastrophic affect on boat speed.
In many cases it can be very difficult to quickly determine when a boat has picked up kelp so that it can be removed as soon as possible. Some solutions to this challenge are described in the above article:
"Given that it’s impossible to keep the blades clear 100% of the time, what do you do if you think you’ve picked up something? Many boats have small glass prisms installed in the hull just in front of the keel and rudder so someone can go down below and look through windows. Other boats use oscilloscopes that can be inserted through a small waterproof valve. There is generally one valve by the keel and one by the rudder. You can also rotate it to check the sail drive or prop shaft.
On smaller boats, have crewmember lay down on the deck, getting as low as possible so as to see as high on the blades that they can. Most debris is on the surface, so it’s important to get a view all the way up to the hull."
All of the kelp detection methods described above have drawbacks as the most accurate ones require drilling a hole through the hull of the boat to install a window or valve, which is difficult and results in leaks if not done properly. Having a crew member inspect the bottom from the deck requires no modifications to the boat but is not always reliable. None of these solutions work reliably or at all during the night.
A much better solution could be to use a series of Walabot sensors embedded in key parts of the hull or to detect kelp without having to expose them to the water. This could be improved even further by connecting the detector to a voice service, such as Amazon Alexa, and programming the detector to respond with kelp status for parts of the boat such as the keel and rudder when asked. This eliminates the need to send a crew member to look over the side or through a window down below, which can be detrimental when racing, especially during windy or difficult conditions.
I would like to build a sailboat kelp detection system comprising a Walabot or series of Walabots, programmed to detect kelp pressed against the hull and return the results in response to a request made using Alexa voice service.
Smart Parents Room Monitoring
Our Parents scarifies their lives to build our future but when then will turn into older ages then we will turn into young energetic body and will move to busy life and will spend more time at workplace and don't know about parents whether they are sleeping or siting or in wash room or what's their heart rates (if they have heart problem).
so thanks to walabot they are providing too much functions by which we can accomplish above mentioned problems and thanks to alexa which is already serving us as Personal Assistant will also update us our parents status like what's the current location or what's the heart beat status or what's there body postion.
above mentioned diagram demonstrate the blueprint of project who it will work.