πŸ‘οΈ8,956
GitHubLinkedIn
Spatial Computingβ€’β€’7 min readβ€’1204 words

πŸš€ Virtual Production - Location Scouting

πŸ‘οΈ0reads (human + AI)πŸ€–0AI ingestions

πŸš€ Virtual Production - Location Scouting

This article discusses how virtual location scouting technology is transforming production workflows. It highlights the use of digital doubles for remote planning and approval processes.

Key Points:

β€’ Captures real locations digitally for accurate representations.

β€’ Enables remote scouting and collaborative planning for production teams.

β€’ Streamlines approval processes by providing detailed virtual environments.

πŸš€ Implementation:

  1. Capture physical locations using specialized scanning tools.
  2. Process captured data to create high-fidelity digital doubles.
  3. Utilize digital doubles for remote walkthroughs and production planning.

πŸ”— Resources:

β€’ XGRIDS Official β†— - Provides virtual production tools for digital location scouting

Image

Image


πŸ€– AI in Agriculture - Hyperspectral Imaging for Food Safety

This article explores a deep learning approach for detecting foreign materials in poultry meat using Near-Infrared (NIR) hyperspectral imaging. It covers model compression and hardware acceleration techniques for high-performance applications.

Key Points:

β€’ Utilizes NIR hyperspectral imaging for precise foreign material detection.

β€’ Applies deep learning model compression for efficient processing.

β€’ Leverages hardware acceleration to achieve high-performance detection.

β€’ Enhances food safety in poultry processing through advanced sensor technology.

πŸš€ Implementation:

  1. Acquire NIR hyperspectral images of poultry meat samples.
  2. Train a deep learning model for foreign material identification.
  3. Implement model compression techniques to optimize for embedded hardware.
  4. Deploy the accelerated model on hardware for real-time detection.

πŸ”— Resources:

β€’ MDPI Sensors β†— - Research paper on foreign material detection in poultry

β€’ Sensors_MDPI β†— - Official account for Sensors journal publications

Image

Image


✨ 3D Graphics - Material Generation with MatSpray

This article introduces MatSpray, a novel method for applying materials to 3D Gaussian Splatting scenes. It describes how the technique fuses 2D material knowledge onto 3D geometry using swappable foundation models.

Key Points:

β€’ Generates super fast materials for 3D Gaussian Splatting scenes.

β€’ Fuses 2D material world knowledge onto 3D geometry.

β€’ Utilizes swappable foundation models for material application.

β€’ Developed in collaboration with Philipp Langsteiner from CG TΓΌbingen.

πŸš€ Implementation:

  1. Acquire a 3D Gaussian Splatting scene as the base geometry.
  2. Select relevant 2D material knowledge from foundation models.
  3. Apply MatSpray to fuse the 2D material data onto the 3D geometry.
  4. Render the scene with newly applied high-fidelity materials.

πŸ”— Resources:

β€’ Janusch Patas β†— - Author involved in MatSpray development

β€’ JDihlmann β†— - Author involved in MatSpray development

β€’ CG TΓΌbingen β†— - Research group affiliation for the project

Image

Image


✨ Kopin - Annual Team Gala

This article highlights Kopin's annual Winter Wonderland Gala, an event designed to foster team connection. It acknowledges employees and celebrates their contributions to the company's success.

Key Points:

β€’ Fosters team cohesion and strengthens internal professional relationships.

β€’ Recognizes employee contributions and achievements throughout the year.

β€’ Promotes a positive work environment and company culture.

β€’ Concludes the year with a celebratory event for all staff.

πŸ”— Resources:

β€’ Kopin β†— - Official company updates and information

Image

Image

Image

Image

Image

Image


πŸ€– Satellite Imaging - Orbital Activity Monitoring

This article details a collaboration between BlackSky and HEO to capture images of spacecraft visiting the International Space Station. It illustrates their capability in monitoring dynamic orbital activities.

Key Points:

β€’ Captures images of active spacecraft in orbit around the ISS.

β€’ Highlights the collaboration between BlackSky and HEO for space observation.

β€’ Provides insights into dynamic orbital activities and space traffic.

β€’ Utilizes advanced imaging capabilities for space situational awareness.

πŸ”— Resources:

β€’ BlackSky Inc. β†— - Provides geospatial intelligence and monitoring services

β€’ HEO β†— - Partner in orbital observation and imaging solutions

Image

Image


πŸš€ Geospatial Tools - Mapbox Boundaries Impact

This article showcases the impact of Mapbox Boundaries on DataKind's operations, leading to improved performance and user engagement. It details how the tool enhances data-driven solutions for nonprofits.

Key Points:

β€’ Achieves 50% faster load times for data applications.

β€’ Contributes to a 58% increase in monthly active users.

β€’ Eliminates 15% of rendering errors, improving data tool reliability.

β€’ Empowers DataKind to create more inclusive and effective data tools.

πŸ”— Resources:

β€’ Mapbox β†— - Provides location data and mapping tools

β€’ DataKind β†— - Non-profit applying data science and AI for social good

Image

Image


πŸ’‘ Virtual Worlds - Exploring Vket 2025 Winter

This article announces a live stream event with Vket Global ambassador Gen1 to explore Vket 2025 Winter. It invites viewers to join the virtual reality experience in real-time.

Key Points:

β€’ Features a live exploration of the Vket 2025 Winter virtual event.

β€’ Led by Vket Global ambassador Gen1 for an immersive experience.

β€’ Provides an opportunity to engage with the VRChat community.

β€’ Offers a direct link to join the Twitch livestream.

πŸ”— Resources:

β€’ Bastkaerun Twitch β†— - Live stream platform for Vket 2025 Winter exploration

β€’ Jelle Kayen β†— - Tweeter sharing the Vket global ambassador stream

Image

Image


✨ Community Engagement - User Stories

This article emphasizes the value of shared experiences and community stories. It highlights how these narratives serve as a meaningful "gift" within a community context.

Key Points:

β€’ Values personal narratives and shared experiences within a community.

β€’ Fosters connection through the power of storytelling.

β€’ Encourages active participation and contribution from individuals.

β€’ Highlights the collective impact of diverse personal stories.

πŸ”— Resources:

β€’ Mighty Coconut β†— - Likely related to interactive storytelling or game development

Image

Image


πŸ’‘ VR Technology - Monitor Play with Quest Controllers

This article discusses an innovative method that allows users to play virtual reality games on a traditional monitor using Meta Quest controllers. It showcases a unique approach to VR game interaction without a headset.

Key Points:

β€’ Enables VR game interaction on a standard monitor.

β€’ Utilizes Meta Quest controllers for input without a headset.

β€’ Offers an alternative method for experiencing VR game mechanics.

β€’ Demonstrates creative solutions for extended hardware compatibility.

πŸš€ Implementation:

  1. Install necessary software for controller input emulation.
  2. Configure Quest controllers for PC input via compatible platforms.
  3. Launch VR games in a flat-screen mode or using a viewer.
  4. Map Quest controller inputs to traditional game controls.

πŸ”— Resources:

β€’ NathieVR β†— - Demonstrator of this VR gaming method

Image

Image


πŸ€– Data Science - Holiday Route Optimization

This article explores a hypothetical application of real-world route optimization techniques to Santa's Christmas Eve flight. It demonstrates how data science principles, including weather layers and landing scores, can enhance even fantastical scenarios.

Key Points:

β€’ Applies advanced route optimization algorithms to a complex delivery scenario.

β€’ Integrates data points such as weather conditions and rooftop landing scores.

β€’ Utilizes airflow windows for precise environmental considerations.

β€’ Illustrates the broad applicability of data-driven decision making.

πŸš€ Implementation:

  1. Define all delivery points and associated time windows.
  2. Incorporate real-time weather data and environmental factors.
  3. Calculate optimal routes considering constraints like landing safety and efficiency.
  4. Simulate and refine the delivery plan based on collected data.

πŸ”— Resources:

β€’ Nexar β†— - Company involved in data-driven mobility and mapping solutions



⭐️ Support

If you liked reading this report, please star ⭐️ this repository and follow me on Github β†—, 𝕏 (previously known as Twitter) β†— to help others discover these resources and regular updates.


Related Spatial Computing Breakdowns

Drix10
Written by Drix10

Co founder @ PartPilot | 1 x Acquired Founder | Canopy @ f.inc | Cybersec @ DSU | 2x International Hackathon πŸ†. Read more on drix10.com.