"Exploring the Potential of Apple Vision Pro: A New Era in Human-Computer Interaction"

Apple Vision Pro ppt presentataion for seminar presentataion

1. Vision Pro Aslam Ali MCA22040

2. Welcome to the era of spatial computing

3. What is “Spatial Computing” ? Computing systems that augment ,extend or even replace our real world experiences, providing information and functionalities that surround the user in 3D space

4. Virtual Reality (VR) aims to replace your real world experience entirely with artificial computer generated experiences “you are in the fantasy world ” Augmented or Mixed Reality (AR/MR) brings the artificial computer generated experience in to the real world “the fantasy world comes to your real world” What is “Spatial Computing” ?

5. How does “Spatial Computing” work? Spatial computing systems are not just a display technology, but complex and computationally demanding “sensor fusion systems” A lot of options for both input sources and output devices ,from headsets and hand controllers to full coverage haptic suits and feedback systems

6. Apple Vision Pro and Vision OS

7. What is Vision pro This is an Augmented reality/Virtual reality headset This has brunch of cameras and sensors that you strap to your face This has M2 chip with R1 chip You don’t have to pair it with your iPhone or mac in fact, it’s a standalone computer with its own wi-fi Two hours battery life

8. Some features of Vision pro Apps have dimensions You are not isolated from other people.. (can see through the glasses with the help of cameras and they can see you) Up-to 100ft wide screen Do facetime without letting them know that you are wearing VR Seamless App Integration

9. Apple Vision OS

10. What is Vision OS Vision OS is the operating system designed specifically for Apple's mixed reality headset, the Apple Vision Pro Apple’s first ever spatial operating system It works with only SwiftUI Framework The core of vision OS are Windows, Volumes and Spaces Windows Volumes Spaces

11. Window is spacial version of window that we use in our iPhone or Mac

12. Volume is where we can have 3d experience. It defines width, height and depth

13. Spaces are where your windows and volumes can live side by side (full space is where only one app is active either in window or in volume or both in windows and volume)

14. Apple Vison Pro headset allows the wearer to see the real or physical world around them, unlike VR headsets that fully envelop the face and limit visibility. Apple Vision Pro seamlessly blends digital content with your physical space. You navigate simply by using your eyes, hands, and voice. Tap to select Pinch to rotate Manipulate create custom objects gestures Vision Pro Gestures

15. Design of Vision Pro

16. A singular piece of three-dimensionally formed laminated glass flows into an aluminum alloy frame that gently curves to wrap around your face. ENCLOSURE CAMERAS & SENSORS CROWN & BUTTON DISPLAYS

17. A pair of high-resolution cameras transmit over one billion pixels per second to the displays so you can see the world around you clearly. The system also helps deliver precise head and hand tracking and real‑time 3D mapping, all while understanding your hand gestures from a wide range of positions. ENCLOSURE CAMERAS & SENSORS CROWN & BUTTON DISPLAYS

18. Press the Digital Crown to bring up the Home View, and turn it to control your level of immersion while using Environments Press the top button to take spatial videos and spatial photos in the moment ENCLOSURE CAMERAS & SENSORS CROWN & BUTTON DISPLAYS

19. A pair of custom micro ‑ OLED displays deliver more pixels than a 4K TV to each eye - for stunning clarity. ENCLOSURE CAMERAS & SENSORS CROWN & BUTTON DISPLAYS

20. Spatial Audio system Ambient Spatial Audio makes sounds feel like they’re coming from your surroundings. And with audio raytracing, Vision Pro analyzes your room’s acoustic properties - including the physical materials - to adapt and match sound to your space.

21. Vision OS In vision OS, apps can fill the space around you, beyond the boundaries of a display. They can be moved anywhere, scaled to the perfect size, react to the lighting in your room, and even cast shadows.

22. Navigate vision OS simply by looking at apps, buttons, and text fields. App icons and buttons subtly come to life when you look at them. Simply look at the microphone button in a search field and start speaking to dictate text. Tap your fingers together to make a selection and gently flick to scroll. It is designed to understand hand gestures from comfortable positions, like resting in your lap or on the sofa. Use Siri to quickly open or close apps, play media, and more.

23. Responsive, precision eye tracking A high-performance eye tracking system of LEDs and infrared cameras projects invisible light patterns onto each eye. This system provides input without your needing to hold any controllers, so you can select elements just by looking at them.

24. Working of vision pro

25. A unique dual‑chip design enables the spatial experiences on Vision Pro. The powerful M2 chip simultaneously runs vision OS, executes advanced computer vision algorithms, and delivers stunning graphics, all with incredible efficiency. The brand-new R1 chip is specifically dedicated to process input from the cameras, sensors, and microphones, streaming images to the displays within 12 milliseconds — for a virtually lag-free, real-time view of the world.

26. Apple Vision Pro covers a combination of deep learning and image processing techniques to achieve its advanced visual recognition capabilities. Deep Learning Models: At the core are deep learning models, particularly Convolutional Neural Networks (CNNs) trained on massive datasets of images and videos. CNNs excel at extracting features from visual data, enabling Apple Vision Pro to perform tasks like object recognition, image classification, and object tracking with high accuracy. Image Processing Techniques: Image processing algorithms likely play a role in enhancing the quality of the visual data. Techniques like noise reduction, contrast improvement, and edge detection can be used to improve the accuracy of subsequent analysis by the deep learning models.

27. Convolutional Neural Network — CNN (Deep Learning) Preprocessing: The image captured by the device's camera goes through initial processing. This might involve resizing, color normalization, or other techniques to ensure consistency for the CNN. Convolution: The image is fed into the convolutional layers. These layers apply filters that scan the image, extracting features like edges, shapes, and colors. Each filter detects specific patterns, and multiple filters are used to capture various features. The resulting data is called feature maps. Pooling: Pooling layers down sample the feature maps, reducing their dimensionality without losing important information. This helps control computational complexity and makes the model more robust to minor variations in the image.

28. 4.Activation: Activation functions are applied to the data after each convolution and pooling step. These functions introduce non-linearity, allowing the network to learn complex relationships between features. 5.Fully Connected Layers: After multiple convolutional and pooling stages, the extracted features are fed into fully connected layers. These layers act like traditional artificial neural networks, connecting all the neurons from the previous layer to every neuron in the next. Here, the high-level features are combined, and classifications or detections are made based on the learned patterns. 6.Output: The final layer outputs the results, which could be class probabilities (identifying an object type) or bounding boxes (localizing objects in the image) depending on the specific task Apple Vision Pro is performing.

29. I mage processing techniques Apple utilizes a combination of image processing techniques to prepare the visual data for their deep learning models in Apple Vision Pro Noise Reduction: Digital cameras can introduce noise into images. Noise reduction techniques can help eliminate this unwanted noise, leading to cleaner data for the CNNs to analyze. Contrast Enhancement: Adjusting image contrast can make features like edges and objects more distinct. This can improve the accuracy of object detection and recognition. Color Correction: Inconsistent lighting or white balance issues can affect image quality. Color correction techniques can help normalize the color balance, ensuring the CNNs process consistent color information.

30. Sharpening: Sharpening techniques can enhance the definition of edges and details in an image. This can be particularly helpful for tasks like object recognition where precise feature extraction is crucial. Image Segmentation: This technique can separate objects from the background in an image. This pre-processed data can be beneficial for the CNNs to focus on specific objects of interest. Eye Tracking: Apple Vision Pro uses high-speed cameras to track eye movements. This requires image processing techniques to identify and track the user's pupils in real-time.

31. The LiDAR Scanner and TrueDepth camera work together to create a fused 3D map of your surroundings

32. Vision Pro makes it easy to collaborate and connect in facetime wherever you are. Within FaceTime, you can also use apps to collaborate with colleagues on the same documents simultaneously. Vision Pro is Apple’s first 3D camera. You can capture magical spatial photos and spatial videos in 3D, then relive those cherished moments like never before with immersive Spatial Audio.

33. An immersive way to experience entertainment.

34. Your favorite movies and TV shows from Apple TV+ and other streaming services are available on Vision Pro. Vision OS offers to Play your favorite iPad games using Bluetooth game controllers.

35. Advantages Immersive Experience: Users feel like they are part of the action. Innovative Design: It features a comfortable fit and intuitive controls for effortless use. Wide Range of Applications: valuable tool in various sectors, from professional training and education to enhanced creativity and productivity. Apple Ecosystem Integration. High-Quality Display.

36. Disadvantages High Cost Battery Life: The battery life might not meet everyone's needs. Discomfort and neck strain: The weight, especially the front-heavy design, can cause fatigue and discomfort after a while. Limited usability: The weight makes it impractical for activities that require a lot of movement, like VR workouts. Privacy Concerns Limited Ecosystem Integration

37. Conclusion In conclusion, Apple Vision Pro, powered by a combination of cutting-edge computer vision algorithms and a dedicated operating system that leads to a new era of human-computer interaction. Its capabilities for real-time object recognition, spatial computing , and immersive experiences have the potential to revolutionize various fields, from entertainment and gaming to education, design, and even healthcare. As Apple continues to refine Vision Pro, we can expect even more innovative applications that blur the lines between the physical and digital worlds.

38. “This is the prototype of something big in Future”

39. Thank You