Huawei's kits ensure Huawei smartphone users can unlock enhanced functionality and enjoy new benefits
A fast-growing and innovative photo editing tool is now available to users outside of China through AppGallery.
The innovative photo editing tool Cut Cut gives everyday users access to professional retouching and editing software, enabling them to easily create crisper, cleaner, and prettier images from their Huawei smartphone. It is quickly becoming one of the most popular and highest-rated photography apps in the world, amassing almost 100 million global users in less than 18 months.
Cut Cut integrates some of Huawei's leading technology to give users a unique and seamless photo editing experience. As well as allowing users to remove or edit backgrounds, add filters and stickers to images, access a massive material library, and create new collages and artworks, it also includes features made possible by Huawei's chip, device, and cloud capabilities. For example, Huawei's Machine Learning Kit reduces on-device processing time and improves image segmentation precision even if the user is offline. The image segmentation service also unlocks other enhanced functionality features such as image area optimization, portrait colouring, and sky filter effects - Cut Cut can even identify pixels of different kinds of elements more accurately to enhance images of things like the sky or grass.
The app uses HiAI, Huawei's latest AI technology. This ground-breaking platform provides capabilities at the chip, device, and cloud level, allowing Cut Cut to automatically detect people in photos and intelligently cut out backgrounds and differentiate objects within images.
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Cut Cut also integrates a range of other HMS Core and HMS Capabilities kits to enable a smoother, easier, and more tailored user experience. For example, the Analytics Kit feeds developers useful insights on user behaviour, helping them better understand user preferences and therefore allowing them to constantly improve applications. Other kits integrated into Cut Cut that deliver user advantages include the Account Kit, allowing users to easily sign in using their Huawei ID; the Push Kit, notifying users of any important promotions or messages; Ads Kit, helping ensure ads are high quality and personalized and therefore less intrusive; and a range of other user benefits, such as convenient in-app purchases and easy sharing to social media and other platforms.
Furthermore, Cut Cut developers APUS has given out a certain amount of all Huawei smartphone users a six-month VIP gift packages as early-bird-incentives to Huawei smartphone users who download the App from AppGallery, which unlocks all paid materials to give members free access to more than 20,000 resources such as background, stickers, and filters.
Cut Cut, along with thousands of other quality apps across 18 categories, are available on Huawei's open, innovative, and secure app distribution platform, AppGallery. One of the top three app marketplaces globally, AppGallery connects 400 million monthly active users throughout more than 170 countries and regions to Huawei''s smart and innovative ecosystem.
For more information about AppGallery, please visit consumer.huawei.com/en/mobileservices/appgallery/
Interested in knowing more about HMS kits and capabilities? Please visit: developer.huawei.com/consumer/en/hms
Related
To improve user retention in your app, it is crucial to optimize user experience and improve user loyalty since it is becoming more and more difficult and expensive to increase traffic and acquire new users. One solution is to customize the content, appearance, and style of your mobile app for different users.
HUAWEI Analytics Kit, together with Remote Configuration, can provide such functions in a convenient and efficient way.
What are HUAWEI Analytics Kit and Remote Configuration?
HUAWEI Analytics Kit is a free-to-use data analysis service for app operations personnel to track how users behave in apps and facilitate precise data-driven operations. Applicable to multiple platforms such as Android, iOS, and web, and various types of devices such as mobile phones and tablets, it can automatically generate more than 10 types of analysis reports based on users' behavior events.
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Remote Configuration provides a console and a client SDK, and periodically obtains configuration items from the cloud. You can then use the user attribute and audience information provided by Analytics Kit to easily tailor app content and appearances for different audiences, without the hassle of releasing a new app version. Remote Configuration allows you to perform the following:
Flexibly control the target user groups to which configuration items take effect, in dimensions such as app version, operating system, country or region, language, time, audience, and user attribute.
Manage up to 300 configuration versions from the last 90 days, and perform one-click rollback to a specified version.
Push configuration changes in real time to speed up app updates on devices.
Examples of scenarios where HUAWEI Analytics Kit and Remote Configuration are applicable
Example 1: HUAWEI Analytics Kit found that the top 3 types of active users in a video app were animation, costume drama, and suspense drama fans, respectively. Therefore, different app styles were used depending on the user type, helping improve user activity.
Example 2: After HUAWEI Analytics Kit was integrated into an e-commerce app, it was found that purchase behavior differed greatly depending on the age of the user. Therefore, the app developer decided to change the appearance of the app and the products displayed depending on the age of the user, in order to provide the user with a better experience and increase in-app purchases.
It takes you only 5 minutes to integrate HUAWEI Analytics Kit, which allows you to precisely segments users and customize app content and styles accordingly.
Integration guide:
Android
iOS
Web
Sample code:
Android
iOS
Web
If you encounter any problems during the integration, you can submit a ticket online.
We look forward to your participation!
To survive in the market, an app must be optimized and updated on an ongoing basis, in order to remain attractive to users. By frequently improving app design and providing users with new functions and experience, we can maximize user loyalty and extract greater benefits.
However, evaluating the effects of an app update is not an easy task. These include user attitudes regarding updates, feature popularity, and contributions of the app update to the key path conversion rate. Fortunately, Analytics Kit has you covered, giving you access to a wealth of user behavioral data, which is indispensable for performing such evaluations.
1. Comparing adoption rates between different versions
An app may crash after a new version is released, so monitoring its quality is crucial to ensuring an optimal user experience. Real-time analysis of version distribution gives you a sense of how each app version is performing, such as the corresponding numbers of users, events, and crashes, so that you can locate and solve problems in a timely manner.
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The app version adoption rates reveal the versions adopted by all, active, and new users, offering insight on whether the number of users adopting the new version is increasing as expected. App version details are also at your disposal, enabling you to perform drill-down analysis.
2. Verifying app update effects in retention growth
Retention rate is one of the most significant indicators for evaluating app update effects. You can use the filter function to compare new user retentions between old and new versions. If the retention rate of the new version has surpassed that of the old version, we can conclude that the app update is effective for bolstering user retention.
3. Leveraging the funnel model to track the key path conversion rates
In many cases, app functions or UIs are optimized with the aim of enhancing the conversion rate of key paths. For example, adding a banner at the top of the app UI to attract users to the details page can boost the click-through and purchase rates. Let's use an e-commerce app as an example. A typical conversion path consists of five steps: searching for products, viewing details, adding a product to the shopping cart, submitting an order, and paying for the product. With funnel analysis, you'll be able to observe the conversion rate of each step in the purchasing process. If you have made certain changes on the product details page according to user survey results, you can focus on conversions from users viewing product details to adding products to the shopping cart. Please note that a new funnel must be created if the key path steps have changed due to feature updates.
To learn more, click here to get the free trial for the demo, or visit our official website to access the development documents for Android, iOS, Web, and Quick App.
To learn more, please visit:
HUAWEI Developers official website
Development Guide
Reddit to join developer discussions
GitHub or Gitee to download the demo and sample code
Stack Overflow to solve integration problems
Original Source
Text is more than just lines on a page. It can embody our understanding of the world. But how to better record text and improve writing experience is the next big challenge in the digital age.
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According to Li Jianing, CEO of Jnotes, the main incentive to develop the Jnotes app was to provide users with a lifelike digital writing experience that supports their everyday habits. New advancements in network technology and smart devices (like phones, tablets, and watches) are commonplace, which is why many enterprises are adopting a smart office model. The Jnotes app is designed for a paperless society, presenting handwriting at maximum fidelity and minimal latency to fit users' requirements.
Li Jianing, CEO of Jnotes
Jnotes was established in 2019, recalled Jianing, and with a team of four. Since then, the app has been installed over 30 million times. Jianing says, "This achievement is part due to our continuous investment in advanced technologies, and part to our core focus on user experience". In addition to its excellent writing experience, Jnotes also provides a set of quality functions, such as handwriting duplication, PDF annotation, and image insert. These features make the app a perfect foundation to facilitate both work and studying, for any environment.
Jnotes team
Open capabilities from HMS Core have contributed to Jnotes' meteoric rise. For example, Pencil Engine. Its stroke estimate feature improves stroke efficiency and the writing experience. According to Jianing, "This feature helps narrow the distance from the handwriting to the stylus pen tip, and slash the writing latency." Now, writing is smooth as using pen and paper, conforming perfectly to common writing habits.
Another key feature was Drive Kit, which facilitates the synchronization function on the app. Jianing added, "Drive Kit allows users to check and edit their notes on different types of devices, making the app a premium tool for improving productivity".
Smooth writing experience from Jnotes
One core focus for the company was the need to quickly respond to users' requirements. In fact, this is one of the reasons why Jnotes stands out from the crowd. The app adopts Analytics Kit, which allows the support team to check vital operations data in AppGallery Connect — the Huawei platform designed for developers — to swiftly locate issues and make improvements. Jianing explains, "This helps stay on top of, and refine, our operations". This was especially useful when combined with user feedback, helping the company better equipped for the future.
Users' feedback from AppGallery Connect
At the 2021 Huawei HMS App Innovation Contest, Jnotes reaped the Best App award. For Jianing and her team, this was the recognition they dreamed, and encouraged the whole Jnotes team to keep pushing their limits.
AppsUP 2021 Best App
Each year, the app's user base grows bigger, meaning the Jnotes team will have to stay dedicated to improving its performance. The company will work with HMS Core to offer true-to-life, smooth writing experience.
Notebloc is a Spanish app that scans, saves, and shares notes, documents, receipts, drawings, photos, and images of any type. It allows users to crop documents or images, and automatically corrects misaligned pages. Notebloc, which is now available worldwide and supports over 30 languages, has already been downloaded by more than 7 million users around the world.
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Notebloc's core functions are centered around documents. The integration of the HMS Core Pencil Engine into the Notebloc app offers specialized features such as brush effects, handwriting editing, stroke estimate, smart shape, and double-tapping. These advanced tools provide a superior handwriting experience. Now, users can effortlessly edit documents, by using the marker to annotate, mark up, and add notes to a file, and they can also unleash their creativity by adding sketches or diagrams. This is how Huawei's Pencil Engine allows Notebloc to bring users' best ideas to life.
Notebloc also integrates the HMS Core ML Kit text recognition service, which enables the app to accurately identify and extract text from images of receipts, business cards, and documents, and provide precise, and structured transcription of important information in text, greatly improving user satisfaction.
Teamwork Timeline:2013：Notebloc was founded in Barcelona, Spain
2021：In September, team meetings were held regarding co-development between Notebloc and Huawei. In November, the project began. Huawei's HMS Core DTSE team helped Notebloc's developers overcome difficulties, such as a lack of test devices and insufficient sample documents.
2022：In January, HMS Core was successfully integrated into the Notebloc app, and became available on the HUAWEI AppGallery.
Customer feedback:
STEM Alliance reported that Notebloc, one of the first apps in Europe to integrate Pencil Engine, was able to provide users with substantially improved note-taking services by working with HMS Core. More users can now access and use a myriad of editing tools, and can easily, and securely, scan and share documents.
The Notebloc team confirmed its intention to integrate other HMS Core capabilities in order to attract app users and increase monetization in the future.
To learn more, please visit:
>> Reddit to join developer discussions
>> GitHub to download the sample code
>> Stack Overflow to solve integration problems
Follow our official account for the latest HMS Core-related news and updates.
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Washboard abs, buff biceps, or a curvy figure — a body shape that most of us probably desire. However, let's be honest: We're too lazy to get it.
Hitting the gym is a great choice to getting ourselves in shape, but paying attention to what we eat and how much we eat requires not only great persistence, but also knowledge about what goes in food.
The food recognition function can be integrated into fitness apps, letting users use their phone's camera to capture food and displaying on-screen details about the calories, nutrients, and other bits and pieces of the food in question. This helps health fanatics keep track of what they eat on a meal-by-meal basis.
The GIF below shows the food recognition function in action.
Technical PrinciplesThis fitness assistant is made possible thanks to the image classification technology which is a widely-adopted basic branch of the AI field. Traditionally, image classification works by initially pre-processing images, extracting their features, and developing a classifier. The second part of the process entails a huge amount of manual labor, meaning such a process can merely classify images with limited information. Forget about the images having lists of details.
Luckily, in recent years, image classification has developed considerably with the help of deep learning. This method adopts a specific inference framework and the neural network to classify and tag elements in images, to better determine the image themes and scenarios.
Image classification from HMS Core ML Kit is one service that adopts such a method. It works by: detecting the input image in static image mode or camera stream mode → analyzing the image by using the on-device or on-cloud algorithm model → returning the image category (for example, plant, furniture, or mobile phone) and its corresponding confidence.
The figure below illustrates the whole procedure.
Advantages of ML Kit's Image ClassificationThis service is built upon deep learning. It recognizes image content (such as objects, scenes, behavior, and more) and returns their corresponding tag information. It is able to provide accuracy, speed, and more by utilizing:
Transfer learning algorithm: The service is equipped with a higher-performance image-tagging model and a better knowledge transfer capability, as well as a regularly refined deep neural network topology, to boost accuracy by 38%.
Semantic network WordNet: The service optimizes the semantic analysis model and analyzes images semantically. It can automatically deduce the image concepts and tags, and supports up to 23,000 tags.
Acceleration based on Huawei GPU cloud services: Huawei GPU cloud services increase the cache bandwidth by 2 times and the bit width by 8 times, which are vastly superior to the predecessor. These improvements mean that image classification requires only 100 milliseconds to recognize an image.
Sound tempting, right? Here's something even better if you want to use the image classification service from ML Kit for your fitness app: You can either directly use the classification categories offered by the service, or customize your image classification model. You can then train your model with the images collected for different foods, and import their tag data into your app to build up a huge database of food calorie details. When your user uses the app, the depth of field (DoF) camera on their device (a Huawei phone, for example) measures the distance between the device and food to estimate the size and weight of the food. Your app then matches the estimation with the information in its database, to break down the food's calories.
In addition to fitness management, ML Kit's image classification can also be used in a range of other scenarios, for example, image gallery management, product image classification for an e-commerce app, and more.
All these can be realized with the image classification categories of the mentioned image classification service. I have integrated it into my app, so what are you waiting for?