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Google I/O 2016 Day 3 – Review

The day was bit calm as compared to day 1, but didn’t stop surprising audience. The Google went ahead and revealed more about Project Ara and Project Jacquard, two far-out projects from its ATAP division, on Day 3. This grabbed some heat at conference and google successfully captured them and wrapped this 3 day conference very well.

Creating market for manufacturers, from day 1, googles announcements and future technologies would hit by the fall of this year.

On final day of Google I/O 2016, Google finally released Project Ara- its modular smartphone and Project Jacquard- “connected clothing”, which would be ready by the fall of this year.

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It’s been a long time coming, but Google promises this time (like for real) that the long-delayed Project Ara smartphone will be shipping to developers this fall. While it’s been slow getting out of the gate, the smartphone old guard have dreamed up their own visions of modular mobility. But Ara’s idea of a truly modular smartphone is a step beyond anything even being conceived by other companies. Let’s hope it was worth the wait.

Project Ara:
This is great news for anyone who was looking forward to the long-delayed phone with swappable parts. The LG G5 is only tiding us over with a upgradeable speaker and camera-battery grip parts so far.

“Project Ara is different from LG G5, it is modular to the core”, according to Google ATAP engineering lead Rafa Camargo. He called it a flexible and future-proof phone, which he meant it could last you several years.

“We’ve integrated the phone technology in the frame that frees up space for modules that will create and integrate new functionality that you cannot get on your smartphone today,” he added.

Project Ara will be out this fall in a developer edition.

The Project Ara consumer version would be much more refined, and will be launched to the public in the spring of 2017, and a few months later of a developer beta test.

The reason for two Project Ara release dates is that the Google ATAP team wants to know, what are the modules everyone wants to create.

At first, Ara will come with the frame and a few modules to get things started. This may include swapping in a high-resolution camera, a louder speaker or a better battery.

What was really fascinating was when an integrated glucose sensor was even shown on the Google IO stage. All of a sudden, tech that’s essential to people’s lives but might never get phone integration, has a chance with Project Ara.

The Google ATAP team is promising that the consumer version of Ara will be “thin, light and beautiful” in time for next spring. We’ll have more in-depth Ara updates from Google IO this week.highpants-project-ara-progresses-Ara-Phone(1)

Project Jacquard:
Project Jacquard “connected clothing” is coming later this year.

There is “inherent tension between the two,” says Dr. Ivan Poupyrev of Google’s experimental ATAP division. He leads a team to solve a problem he calls “interactive textile technology.”

Google ATAP, known for its Project Ara modular phone, is working with Levi’s on clothing, as was announced last year, and it’s not going to be smart pants, unlike the concept clothing.

It’s actually quite stylish looking

The very first Jacquard garment is going to be a Levi’s trucker commuter jacket with sensors built right into the black jean fabric.

Google and Levi’s are targeting urban cyclists with this tech-infused jacket, calling it a fashionable, function garment.

“It’s a terrible idea to navigate the screen of your phone while navigating busy streets” says Paul Dillinger, VP of innovation at Levi’s. “Anyone who ride a bike knows that tension.”

What can it do? Well gestures, taps and swipes on the sleeve could help you change music or get directions through haptic feedback. Dillinger calls it a “co-pilot for your ride and your life.”

Project Jacquard’s debut jean jacket is going to be a beta later this year.

Just let that one sink in for a moment.

Yes, that means your clothing is now getting a beta test. It makes sense, though, for the first-ever sensor-embedded jacket you’ll own. Google and Levi’s also have plans to make it a full-fledged retail product by 2017. google-fabric-02-100587918-large(1)

With this google wrapped the Google I/O 2016 on good and promising keynotes, giving people something better to wait for by the fall of this year.

The 3rd day was as expected from this Google I/O 2016. For more updates on future technology stay with Mantra Labs.

If any queries approach us on 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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