Move from complexity to simplicity, from asset and process intelligence to operational intelligence with the PI System. Its highly scalable, open data infrastructure empowers enterprises in real time, transforming operational data into actionable knowledge and business transformation. To stay competitive, companies must continually innovate, improve and streamline their operations. But accurately identifying how and where to improve operations can be extraordinarily challenging if the data that holds the answers is scattered among different incompatible systems, formats and processes.
With the PI System, OSIsoft customers have reduced costs, opened new revenue streams, extended equipment life, increased production capacity, and more.
These customers prove that getting the right data at the right time to the right person unleashes tremendous innovation and value. How do you access and learn from critical data that resides in multiple incompatible systems across the enterprise? Quick and easy to install, collect data from and build upon, the PI System quickly reveals new ways to streamline processes and drive continuous improvements.
Designed to store millions of data points, the PI System centralizes both time-series and event-based data in real time. Information silos merge, system incompatibilities are eliminated, and all data sources become unified. What remains is a responsive, fully integrated information infrastructure that presents one version of the truth to all users and provides incisive, decision-ready knowledge on the spot.
Optimized for fast and efficient data delivery, the PI System accesses decades' worth of important historical data and consolidates it with current real-time data. In an instant, you're able to uncover information that was tedious or impossible to access before. And you're empowered to investigate intermittent issues, troubleshoot equipment failures, compare current vs.
Prioritize information. Create context. Highlight salient points. Customize content to different audiences. Take viewers on a remote plant tour. Communicate even the most complex data simply and effectively. With the PI System advanced visualization capabilities, it's easy to do all this and more:.
Empower people - and build a more creative and innovative organization - through the strategic and targeted exchange of information. The PI System makes it easier than ever to share and collaborate across the enterprise, as well as with partners, vendors and customers - anytime, anywhere, on any device. The PI System ensures data security for the right people by enabling fine control of which data is exchanged and who sends and receives it.
Each step leads to a deeper understanding of what's been done and what's currently happening - enabling organizations to transform from reactive to proactive decision making. It's a process that never stops, that constantly uncovers opportunities to find new value by:.
Is there an app for PI Vision similar to the old PI Coresight app?
I'm trying to run an android app on Android Things OS. The app uses facial detection as a first step filter for reaching facial recognition. The problem I'm facing is that the app crashes every time a camera preview is about to start.
So if this code runs, my app runs. I also know that there is a known issue with the raspberry pi and the camera trying to create more than one output surface. For getting more inspirations of how doing this check this tutorial how to use camera2 and this very useful sample how to use Google Vision.
Learn more. Asked 2 years, 3 months ago. Active 2 years, 3 months ago. Viewed times. Thanks in advance. How are we supposed to know when Google will fix a bug in their code? Active Oldest Votes. Reza Hosseini Reza Hosseini 87 9 9 bronze badges. Sign up or log in Sign up using Google.
PI vision on Mobile phone
Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown.LeBay has been with OSIsoft for six years and has also held positions in pre-sales engineering and channel sales and has over 20 years of experience working for software and process automation companies. As such, Resnick is responsible for working with Product Managers to ensure that OSIsoft is developing the best products for its customers. He has operated on IT side as well as on the business side.
He performed functional and technical design, and has been projectmanager for both commercial and industrial applications. The main area of focus is 'Energy', having worked at a major Power Generation company for many years. As an example, he successfully managed the realisation of an Economical and Techical Power Dispatching Centre, taking the role of Business Project manager.
PI Coresight was renamed PI Vision in Smart phones, tablet computers, high speed wireless data connections and the PI System: these tools are becoming more capable and more ubiquitous at an astonishing rate. Did someone says smart phones?
Download Presentation. Industry General. Company OSIsoft.The Face API finds human faces in photos, videos, or live streams. It also finds and tracks positions of facial landmarks such as the eyes, nose, and mouth. The API also provides information about the state of facial features -- are the subject's eyes open?
Are they smiling? With these technologies, you can edit photos and video, enhance video feeds with effects and decorations, create hands-free controls for games and apps, or react when a person winks or smiles. You can also detect and parse several barcodes in different formats at the same time.
PI Vision on iPhone and iPad
It also represents the structure of recognized text, including paragraphs and lines. Text Recognition can automate tedious data entry for credit cards, receipts, and business cards, as well as help organize photos, translate documents, or increase accessibility. Apps can even keep track of real objects, such as reading the numbers on trains.
Home Documentation Reference. Find objects in photos and video, using real-time on-device vision technology. Learn more.
We strongly encourage you to try it out, as it comes with new capabilities like on-device image labeling! Feel free to reach out to Firebase support for help. Get started with the Face API. Learn more about the Barcode API. Learn more about the Text API.Get more value and extend the reach of your PI system with beautiful real-time dashboards on any device, colorful and obvious KPIs, instant integration with non-PI data, native AF integration, alerts and more.
Visual KPI compliments your PI System by easily creating KPIs from live PI values without moving the dataextending PI to any device, and summarizing data into obvious real-time dashboards, alerts and visualizations that will get your PI data in front of more decision makers for better results.
We have been working with OSIsoft since way back in the s before Transpara even existed. We have been OEM partners, sales partners, technology partners and more. The process of setting up the KPIs and scorecards is a breeze. With Visual KPI we can see our mission-critical data anytime live on any mobile phone or tablet.
The customer support is excellent with an amazing turn-around time to resolve any issues if they ever occur. Francois Rogez, IT Manager. Deep integration also means you can be reading live PI data in just minutes, so you can try Visual KPI free without spending weeks or months evaluating.
Click here for our free trial of Visual KPI or below to schedule a live demo.
Schedule a Live Demo. See you there? Let's Talk. Transpara is proud to be an OSIsoft partner and has been since Take a Closer Look. Want to see some of these features in action? Have some questions you would like answered? If so, you can also try it with your own data for free.We will be adding samples to this page as they are created. Samples are organized by language and mobile platform.
We've also tried to cover the feature set of the Vision API within these samples as well. Using Cloud Vision Product Search you can create a product set catalog with corresponding reference images of select product categories. You can then use the service to take a new image of a product and search for matching products in your product set.
See the official documentation and tutorial for more information. Documentation and Python Code. The example uses the nltk Natural Language Toolkit library for finding stopwords and doing stemming. The resulting index can be queried to find images that match a given set of words, and to list text that was found in each matching image.
Documentation and Java Code. Documentation and Node. These sample apps show how you can easily use the Cloud Vision label detection, landmark detection, and text recognition APIs from your mobile apps with ML Kit for Firebase. ML Kit also provides APIs to perform face detection, barcode scanning, inference using custom ML models, and more, all on the device, without requiring a network call. This simple single-activity sample that shows you how to make a call to the Vision API with an image picked from your device's gallery.
Android Code. The Swift and Objective-C versions of this app use the Vision API to run label and face detection on an image from the device's photo library. Documentation Objective-C. Documentation Swift. Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.
For details, see the Google Developers Site Policies. Why Google close Groundbreaking solutions. Transformative know-how. Whether your business is early in its journey or well on its way to digital transformation, Google Cloud's solutions and technologies help chart a path to success.
Learn more. Keep your data secure and compliant. Scale with open, flexible technology. Build on the same infrastructure Google uses. Customer stories. Learn how businesses use Google Cloud. Tap into our global ecosystem of cloud experts.Custom Vision is an image classifier that is trained in the cloud with your own images. IoT Edge gives you the possibility to run this model next to your cameras, where the video data is being generated.
You can thus add meaning to your video streams to detect road traffic conditions, estimate wait lines, find parking spots, etc. This sample can also be deployed on an x64 machine aka your PC. Check out this video to see this demo in action and understand how it was built:.
A test x64 deployment manifest is already available. To use it, rename the deployment. Check out the animation below to see how a IoT Edge deployment works. You can also get more details through this tutorial to see how a IoT Edge deployment works. You must have the following services set up to use this sample:. You need the following dev tools to do IoT Edge development in general, to make this sample run and edit it:. To learn more about this development environment, check out this tutorial and this video :.
Download your own custom vision model from the custom vision service. Explore the various configuration options of the camera moduleto score your ai model against a camera feed vs a video clip, to resize your images, to see logs, etc.
Skip to main content. Exit focus mode. Learn at your own pace. See training modules. Dismiss alert.