Anyone knows about the indoor location technology in our mobile phones?
lisaquach said:
Anyone knows about the indoor location technology in our mobile phones?
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as we rely even more on our smartphone for everyday life, the physical limitations of GPS, which doesn't work in indoor environments or between tall buildings in dense urban areas, are becoming a real challenge for the next generation of LBS(location based Services) applications. Simply put, for GPS to work, it requires a clear view of the sky, where a receiver has an unobstructed line of sight to satellites, meaning that all the mobile location-based apps, like navigation for example, won't work indoors, inside airports, malls, museums, subways, etc., which is where we actually need them the most, as we spend a majority of our time indoor. It also happens that 80% of smartphone usage is done inside buildings, making an even stronger case for bringing location technologies indoor.
• Installations of indoor location services became of excellent quality, available from numerous providers on the market today
• Indoor location apps are now mainstream for iPhone and Android devices, covering already about 80% of the smartphone market
• Because of the rapid market penetration and adoption of smartphones, indoor location services no longer require the use of a specific and separate mobile device, even in professional environments
• Low cost and easy to implement technologies are now widely available, making it easier for all sorts of venues, like shopping centres, airports, rail stations, subways or museums to integrate indoor location technology in their respective mobile apps and bring real added value to customers
• Efficient tools and open software development kits (SDK) allow for any application developers to deploy themselves indoor location services, in their venue or their customers
• The fusion of multiple technologies, such as Wi-Fi, Bluetooth Low Energy and GPS, along with specific ones already integrated in smartphones (accelerometer, magnetometer, gyroscope, and pressure sensor acting as an altimeter) allowed to overcome the main technical barriers that prevented indoor location to be successful in the market. Today, it's finally possible to address 100% of an indoor venue, at a low cost and independently of their Wi-Fi network density
• Finally, the performance reached by indoor location technologies has now surpassed GPS for the outdoors. So much that indoor location today is more accurate than outdoor positioning, with an average accuracy of a few square feet compared to several tens of square feet for GPS.
Hope this is enough for you to get the point.
@¥ü$h
You gave very useful information and the way of description was also good. I want to ask that how can we implement this technology in our daily life. Is there any application for this ??
lisaquach said:
You gave very useful information and the way of description was also good. I want to ask that how can we implement this technology in our daily life. Is there any application for this ??
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Click to collapse
No, till now there's no app developed on public level & in future also I don't think it will coming soon. Though there are various developers & business firms providing this facility at expensive cost. Apps are available but they are useless till you have the right equipments & functions in your Mobile to operate & that can only be done by paying to a developer for the service they provide.
For eg:
Estimote Indoor
Location is currently only available for iOS and
uses complex data science enabled by your
iPhone to approximate the physical dimensions of
your venue, the relative distance you move, and
your proximity to various beacons nearby.
@¥ü$h
Yes, I heard about the iBeacon, available in Apple products that operates on iOS7 or iOS8. We can trace Apple devices by this application.
Related
hi guys.....the ultimate accessory for me would be a laser gun detector, which plugged into the sdio slot.....is such a thing possible?
What part would the pda play in the detection? Would it just use the screen and speaker for the warnings?
Here in the UK all speed camera detectors, blockers, scanners etc are being outlawed under a new bill. I think they already banned in Ireland. I just read this article.
The Department for Transport said it would seek to ban the dashboard devices as soon as possible because of fears motorists were using them to break speed limits without being caught. Thousands of drivers have installed the technology after a huge rise in the use of cameras and other speed enforcement equipment by police.
The detection devices are already outlawed in many European countries including France and Ireland.
A Department for Transport spokeswoman said: "We are aware of the problem and as soon as a legislative opportunity becomes available we will seek to make these devices illegal."
Road safety groups welcomed the announcement. Rob Gifford of the Parliamentary Advisory Council for Transport Safety told The Times: "This is a long overdue closing of a legal loophole. Speed camera detectors should not be needed by law-abiding drivers."
On the issue of websites showing where speed cameras were located, transport minister David Jamieson yesterday said he was happy for people to know where the cameras were. However, he did not want information to be passed on revealing whether or not they were switched on.
He told the House of Commons Transport Committee: "If there is a map showing where they are, then I think that's a good idea, because people will then be very careful in that area."
I'm pretty sure speed cameras use RADAR, not LASER. A useful LASER detector simply does not exist at all, because of the rules of physics that apply to light.
The Origin b2 has many unique and patent protected features. The following is a list of key features.
Alerts for ALL types of fixed traps - Gatso, Truvelo, SPECS, DS2
Alerts for accident blackspots/Congestion Charging Cameras (time sensitive) & schools (time sensitive) (alerts may be switched off by user)
Alerts for user defined, personal locations
Standard laser detector
Optional radar detector
Unit ready for optional laser diffuser
Personal overspeed warnings
Driver Information System - displays distance covered, journey time and average speed
And GPS Based Detectors are not covered (unless they have an additional laser or radar module) as they have no 'active' detection, they simply report GPS Co-Ords of known locations.
Laser detectors are a complete waste of time. the police laser speed guns obtain your speed in 0.3 seconds. You cannot react qickly enough to beat this. The only way to defeat the laser guns is to jam there signal until you have slowed down enough.
The Pilgrim
Oh yes, jammers are also being outlawed.
cruisin-thru said:
Oh yes, jammers are also being outlawed.
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Click to collapse
No they're not - because they ALREADY are illegal.
Use of POI's in navigation software for speed/redlight camera's is already quit common in the Netherlands. Even mobile units are reported 'live' and coordinates given through TMC(radio), gprs. None of this is illegal.
Use of POI's in navigation software for speed/redlight camera's is already quit common in the Netherlands. Even mobile units are reported 'live' and coordinates given through TMC(radio), gprs. None of this is illegal.
I'm the developer of PressureNet, open source Android project to crowdsource atmospheric pressure data using the now-prevalent barometers in smartphones and tablets. The vision is that with so many new connected sensors, we should be able to build a dramatically more accurate weather forecast. The PressureNet app is neat, but the really cool thing is the SDK library project that makes it easy for all app developers to contribute to crowdsourcing effort.
We're aiming for 1 BILLION internet-connected barometers contributing live atmospheric pressure data to weather networks. We currently have 400,000 devices connected, and those are sending about 130M measurements per month to scientists for analysis.
Do you want to contribute? I envision a system where app developers include this SDK in your apps to send us pressure data, we will process and analyze the data to pump it through new weather models. These models will produce accurate weather forecasts, which will we sell - and perhaps be able to distribute profit back to contributing partners. http://pressurenet.io/developers/
What do you think?
Visual aesthetics has been shown to critically affect a variety of constructs such as perceived usability, satisfaction, and pleasure. However, visual aesthetics is also a subjective concept and therefore, presents its unique challenges in training a machine learning algorithm to learn such subjectiveness.
Given the importance of visual aesthetics in human-computer interaction, it is vital that machines adequately assess the concept of visual aesthetics. Machine learning, especially deep learning techniques have already shown great promise on tasks with well-defined goals such as identifying objects in images or translating from one language to another. However, quantification of image aesthetics has been one of the most persistent problems in image processing and computer vision.
We decided to build a deep learning system that can automatically analyze and score an image for aesthetic quality with high accuracy. Please check out our demo to check your photo’s aesthetic score.
About the Research
We came up with a novel Deep Convolutional Neural Network which can be trained to recognize an image’s aesthetic quality. We also came up with multiple hacks while training the algorithm to increase the accuracy.
In our paper published on arxiv, we have proposed a new neural network architecture which can model the data efficiently by taking both low level and high-level features into account. It is a variant of DenseNets which has a skip connection at the end of every dense block. Besides this, we also propose training techniques that can increase the accuracy with which the algorithm trains. These methods are to train on LAB color space and to use similar images in a minibatch to train the algorithm, which we call coherent learning. Using these techniques, we get an accuracy of 78.7% of the AVA2 dataset. The state of the art accuracy on the AVA2 dataset is 85.6% which uses a deep Convolutional Neural Network with pretrained weights on the imagenet dataset. The best accuracy on the AVA2 dataset using handcrafted features is 68.55%. We also show that adding more data to our training set (from AVA dataset not included in AVA2) increases its accuracy to 81.48% on AVA2 Test Set, hence showing the model gets better with more data.
Use-cases of Visual Aesthetics
App developers of social media sites can help their users decide which photo will suit best for their profile image. We all have faced anxiety while uploading photos on social media sites or changing our display pic. With our API integration, app developers can help their users look good, always!
Smart Machine Learning algorithms can help you put your best photo on dating apps
Ok, now this use-case may not appeal to the zen, non-materialistic folks among us but to be honest, dating leads to the most social anxiety. Dating landscape keeps changing as well and therefore, if you are active on dating apps, it’s important to choose your best photos to improve your chances for right swipes!
Dating App developers can easily integrate our APIs to help their users upload their best photos; the visual aesthetics model can also be fine-tuned if the developers want to optimise it on their data set.
Recently Google has launched Pixel 2 and Pixel 2 XL which has a portrait mode. This phone offers the portrait mode even though it lacks the second lens that many other phones have. For example, the iPhone X, Galaxy Note 8, OnePlus 5… all these phones offer the portrait mode because they use data from two lenses. One lens captures the image, the other one captures the depth information, apart from providing some focal range magic for the blurred background. However, Pixel phone uses AI to give HDR+ images to users which are comparable to pictures clicked by a DSLR camera.
Similarly, mobile manufacturers can augment the capabilities of their native camera by integrating the visual aesthetic APIs to let their users know in real-time the quality of their photo even before taking a snap! This will enable your users to share their photos with confidence and you will end up creating a great differentiator for your brand at no additional hardware cost.
Virality in online content
visual aesthetics
Content is king, and it has become ever more difficult to write compelling content that resonates with your audience. However, the best content these days often have great images to complement them, and therefore, you’ve got to include something that will keep eyes moving down the page.
BuzzSumo did an analysis that covered over 1 million articles and found that the ones that had images every 75-100 words had more social shares. Using our visual aesthetics tool, you can quickly check how appealing your images are and accordingly, improve the virality of your blog post.
In this blog post, we have covered some of the use-cases of our visual aesthetics API. When machines become more competent than humans to judge such subjective content, it opens up a lot of possibilities to exploit which were not feasible yet. You can read more blogs on Visual Analytics here.
ParallelDots AI APIs are a deep learning powered web service by ParallelDots Inc, that can comprehend a huge amount of unstructured text and visual content to empower your products. You can check out some of our Visual Analytics APIs and write to us at [email protected].
Mapsted is the free, easy-to-use app that provides state-of-the-art indoor navigation in shopping malls and other indoor facilities. No more staring at directory signs or getting lost in a busy mall. Mapsted works in any building that Mapsted has mapped; just download it once and use it everywhere.
Mapsted lets you search for stores, products and services by name, category or type. It also lets build your own custom profile by entering your preferences, interests, shopping behavior and other information. With that, Mapsted and its partners can deliver you a shopping experience that is customized especially for you.
Mapsted doesn’t require Wi-Fi, Bluetooth, or an internet connection to work. It’s the world’s only stand-alone indoor navigation system. It doesn’t rely on a mobile data connection, and it uses very little battery power. So you can shop ‘till you drop – anywhere – with no worries about your battery or data consumption.
Mapsted uses proprietary, patented technology to provide highly accurate, step-by-step indoor navigation. It accurately displays the locations of stores, service kiosks, washrooms and other amenities in a building. It shows your location, the location of places you want to go to, and guides you every step of the way. You don’t even have to launch it - Mapsted recognizes when you enter a location that has been mapped and loads itself automatically. You simply search, click, and start walking.
Later this year, you can get money saving coupons and other special offers delivered directly to your smartphone while you shop!* And soon, you’ll be able to use Mapsted in airports, hospitals, university campuses, convention centers, public office buildings, government complexes, and other indoor facilities.
https://play.google.com/store/apps/details?id=com.mapsted.navigation
Human beings all have the instinct for social interaction. We always want to connect to everyone and everything. How can we connect to nearby services quickly and have in-depth interactions with surrounding people and environments? Nearby Service gives more than you can imagine, making nearby connections as natural as a normal conversation.
01 About HUAWEI Nearby Service
HUAWEI Nearby Service makes it easy for users to interact with nearby people, devices, and environments using technologies such as Bluetooth, Wi-Fi, and LTE. The service provides Nearby Connection and Nearby Message APIs to implement various nearby communication scenarios.
02 Application Scenarios
High-Speed Large File Transfers Without Connecting to the Internet
High data tariffs and unstable signals are a hindrance for people wanting to share content from wherever they like. Nearby Service offers a solution that enables users to communicate even without a connection to the Internet. Thanks to Huawei proprietary data transmission protocols, Nearby Service outperforms its competitors in terms of device discovery speed and transmission bandwidth. It just takes a second for users to transfer any type of file.
Interaction Makes Games More Fun
Nearby Service provides a better gaming experience for users even when they are not connected to the Internet. As a result, a smartphone can function as a joystick and be used to play games on a connected large screen such as a TV. Alternatively, a smartphone can be transformed into a motion sensor gadget for an immersive somatosensory game experience.
In addition, direct connections can be set up for seamless gaming with friends rapidly. Meet your friends offline and have a few rounds of card games without having to prepare anything.
What Else Is Available for Nearby Users?
With a function that allows the discovery of nearby devices, Nearby Service is capable of far more than just multiplayer gaming. Take the example of an in-store transaction between a user and a shopkeeper. No longer does the user need to scan a QR code to make the payment. Instead, Nearby Service can automatically discover the nearby shopkeeper's device and complete the transfer within one second.
In the same way, a user can find nearby friends easily and create a private group to chat or transfer money.
Connections can only be made with users who are nearby, preventing money unintentionally being transferred to the wrong person located further away. You wouldn't want anyone not at the party to get all the cash, would you?
Services Anytime and Anywhere
Nearby Service lets app developers deliver assisting messages at the right moment and the right place to users. When a user approaches a shopping mall, scenic spot, or airport, a Bluetooth beacon can be used to push information, preferences, and reminders to the user, further blurring the boundary between the digital world and the real world.
Take a shopping mall as an example. A user walks near a commodity and receives commodity details and related recommendations from Nearby Service. The user then goes to the cashier and receives information about discounts. After making the payment, the user goes to the underground parking lot where the car's location is displayed by Nearby Service with directions to get to the car.
Nearby Service provides a Bluetooth beacon management tool for shopping mall operations personnel to provide all these services easily. With the tool, they can manage messages using a Bluetooth beacon and obtain customer flow statistics and professionally-conducted analysis as a reference for future marketing activities.
03 Streamlined Integration Process
Nearby Service provides user-friendly APIs. The integration is just a piece of cake. For guidance of integrating Nearby Service into your app, please go to the HUAWEI Developer website, where you will find the step-by-step integration guide, sample code, and API references. You can also contact us by work order at https://developer.huawei.com/consumer/cn/support/feedback for further technical assistance.