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Android N Developer Preview 4

Android N Developer Preview 4 has been recently released. According to the Google, Developer Preview 4 includes the final APIs, which is API level 24. That means apps can now be published with support for API level 24 on Google Play in alpha, beta, and production release channels. Google is also providing the final API to Android Studio 2.1.2 and higher, while also pushing system images to the emulator.Android-N-notifications(1)

New in Developer’s Preview 4

Android N final APIs

Developer Preview 4 includes the final APIs for the upcoming Android N platform. The new API level is 24.

Play publishing

You can now publish apps that use API level 24 to Google Play, in alpha, beta, and production release channels.

Android Studio and tools updates

Along with Developer Preview 4 Google is providing the final API 24 SDK to be used with Android Studio 2.1.2 and higher. In addition, Google is releasing updated Developer Preview 4 system images for the emulator to help test your apps.

As new updates roll out for Android Studio, you should see minor improvements in the new project wizards and AVD manager as we add enhanced support for API 24. These are primarily cosmetic changes and should not stop you from getting your app ready for an update in the Play store.

Here are some of the new feature changes:

  • In previous versions of Android, an app activates with all of its locale resources loaded before locale negotiation begins. Starting in Android N DP4, the system negotiates resource locales individually for each resource object before the app activates.
  • As announced at Developer Preview 3, Google deferred the Launcher Shortcuts feature to a later release of Android. In Developer Preview 4, Google removed the Launcher Shortcuts APIs.
  • Google has changed the BLE Scanning behavior starting in DP4. They have prevented applications from starting and stopping scans more than 5 times in 30 seconds. For long running scans, google will convert them into opportunistic scans.
  • The Multi-Window android:minimalHeight and android:minimalWidth attributes have been renamed to android:minHeight and android:minWidth.gsmarena_000(1)

Known Issues:

  • Stability – Users may encounter system instability (such as kernel panics and crashes).
  • Launcher – The default launcher’s All Apps tray may become unresponsive after cycling the screen off and on. Returning to the homescreen and relaunching the All Apps tray may resolve this issue.
  • Setup Wizard – Crash on selecting “Not now” in “Set up email” screen.
  • Media – Media playback may be unreliable on Nexus 9 and Nexus Player, including issues playing HD video.
    -Occasional freeze when running the YouTube app with other apps in multi-window mode on Pixel C devices. In some cases hard reboot is required.
    -Apps may have issues playing some Widevine DRM-protected content on Nexus 9 devices.
    -Issues handling VP8 video on Nexus 9 devices.
  • External storage – Apps may become unstable when the user moves them from internal storage to adoptable external storage (this can include SD card or devices attached over USB).
  • Screen zoom and multiple APKs in Google Play – On devices running Android N, Google Play services 9.0.83 incorrectly reports the current screen density rather than the stable screen density. When screen zoom is enabled on these devices, this can cause Google Play to select a version of a multi-APK app that’s designed for smaller screens. This issue is fixed in the next version of Google Play services and will be included in a later Developer Preview release.
  • Vulkan support and multiple APKs in Google Play – On devices running Android N, Google Play services 9.0.83 currently reports Vulkan support but not Vulkan version. This can cause Google Play to select a version of a multi-APK app that’s designed for lower Vulkan support on devices with higher version support. Currently, the Google Play Store does not accept uploads of apps which use Vulkan version targeting. This support will be added to the Google Play Store in the future and fixed in the next version of Google Play services (to be included in a later Developer Preview release). Any N devices using the version of Google Play services 9.0.83 will continue to receive versions of apps targeting basic Vulkan support.
  • Accessibility – Switch access doesn’t allow user to navigate web pages in Chrome.
    -Accessibility issues for talkback users with notification dismissal, and wifi selection screen.
  • Android for Work – Currently, CA certificates provisioned through DevicePolicyManager are not available to profiles other than the primary user/profile due to a preload issue. For example, this could prevent a user from connecting to a trusted server when in a Work profile. This issue will be resolved in the next Developer Preview.

 

If you’re a developer and would like to make sure your updated application runs well on Android N, you’ll want to look into using Google Play’s beta testing feature.

Coming in a build number NPD56N, factory images are now available for the Nexus 6P, Nexus 5X, Nexus 6, Nexus 9, Pixel C, Nexus Player, General Mobile 4G (Android One) and the Sony Xperia Z3. Full OTA images are also available, but not for the Z3. If you aren’t keen on updating manually, you can always enroll your device in the Android Beta Program.

For a complete overview of what’s new for users and developers, Approach Mantra Labs at hello@mantralabsglobal.com

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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