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Android Instant Apps: Changing the App development Landscape

Google announces some pretty interesting things at its I/O conference every year. Android Instant Apps is one of the things that really got my attention as it is compatible not only with the upcoming Android N but also with older versions of the popular mobile operating system.

Instant Apps were first introduced at Google’s I/O developer conference 2016. The technology had only been available to select developers until their Google I/O 2017 conference where Company announced that all developers can now build Instant Apps.

But what is Android Instant Apps? This is a feature that will pull bits of Android apps that are published on Google’s Play Store straight to your Android device when you need some functionality that is available in one of those titles.

  • For instance, as Google demoed, if a friend sends you a link to a BuzzFeed video and you tap on it, Android Instant Apps makes it possible for your device to pull just the part that it needs from the corresponding app to display the video but without actually downloading the whole app on your handset.
  • Another example that Google showed at I/O, say that you want to pay for parking but you do not have the time to download an app that lets you do that. Android Instant Apps uses your handset’s NFC chip to get the necessary functionality from a compatible app to let you pay on the spot, and with Android Pay support nonetheless.Screen-Shot-2016-05-18-at-2.45.18-PM-800x447(1)

Instant Apps blurs the line between websites and apps you need to download, potentially shaking up the mobile Web experience. By offering a sliver of an experience of an app, it could also encourage people to download programs they might have skipped

Android Instant Apps makes your device much more useful and powerful. Normally, when you tap on a link, you are looking at a page opening in your favorite browser, which, depending on how optimized it is for use on a mobile device. You do not need to have all the features that an app can offer all the time, but there are times when you want to do more things or do them differently and this is where Android Instant Apps makes a big difference.

Those are just two examples though (there are three more below), and you can see a wider range of benefits to Android Instant Apps as more developers add support for it. As you know it can take a while before such features get traction, but this time round there’s a very big incentive in implementing it, if you do not count Google’s claim that it may take about a day to get this done. Android Instant Apps is compatible with Android versions as old as Jelly Bean.

Google has not specified which Jelly Been iteration is the oldest supported, but even if we are looking at the last one, which came out in 2013, there are still three current major Android distributions that Android Instant Apps works with.

The company is working with Disney on an Instant App version of its Disneyland app for checking wait times on rides. Other partners include blogging platform Medium, apartment rental service Zumper, a Buzzfeed food recipe app and yes, B&H Photo.ig(1)

The technology behind Instant Apps is actually pretty simple, according to Kirkpatrick. As long as an app developer can break their app into modular chunks roughly a few megabytes each, Google can quickly download just the right chunk of the app to a phone and run it as if it were already installed. Apps can prompt the user for permission to share their location, fire up the phone’s camera, or use saved account information to log in.

It doesn’t even require the latest version of Android: Instant Apps will work with versions as old as Android Jelly Bean.

Let’s keep an eye on their developers conference this year, we will surely keep you updated.

Meanwhile, In case, you have any queries on Android Instant Apps, feel free to approach us on hello@mantralabsglobal.com, our developers are here to clear confusions and it might be a good choice based on your business and technical needs.

Check out these articles to catch the latest trends in mobile apps:

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  3. Google for India September event 2019 key highlights
  4. Learn Ionic Framework From Scratch in Less Than 15 Minutes!
  5. AI in Mobile Development
  6. 10 Reasons to Learn Swift Programming Language
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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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