DeepDream Vision Quest, science fiction cave painting

My Role

Creator & Developer

Product Type

Art Installation (Gen AI)

DeepDream Vision Quest was an interactive AI art installation shown at festivals, galleries, and events from 2016–2019. After debuting at The Game Developers Conference, I became interested by how easily participants ascribed intention to the technology. Through a mix of outreach and word-of-mouth, it reached the San Francisco Palace of Fine Arts, the California Academy of Sciences, the Stanford Linear Accelerator, and other notable art and technology events.

The challenge was turning DeepDream from a slow generative process into a magic mirror people could step in front of and instantly grasp.

Partners

Lifecycle

Exhibition Period 2016–2019

Key Skills & Tools

Python • OpenCV • Hardware Integration • Exhibition Design • Event Planning

Credits

Creator & Developer Gary Boodhoo

DeepDream Vision Quest, science fiction cave painting

My Role

Creator & Developer

Product Type

Art Installation (Gen AI)

DeepDream Vision Quest was an interactive AI art installation shown at festivals, galleries, and events from 2016–2019. After debuting at The Game Developers Conference, I became interested by how easily participants ascribed intention to the technology. Through a mix of outreach and word-of-mouth, it reached the San Francisco Palace of Fine Arts, the California Academy of Sciences, the Stanford Linear Accelerator, and other notable art and technology events.

The challenge was turning DeepDream from a slow generative process into a magic mirror people could step in front of and instantly grasp.

Partners

Lifecycle

Exhibition Period 2016–2019

Key Skills & Tools

Python • OpenCV • Hardware Integration • Exhibition Design • Event Planning

Credits

Creator & Developer Gary Boodhoo

DeepDream Vision Quest, science fiction cave painting

My Role

Creator & Developer

Product Type

Art Installation (Gen AI)

DeepDream Vision Quest was an interactive AI art installation shown at festivals, galleries, and events from 2016–2019. After debuting at The Game Developers Conference, I became interested by how easily participants ascribed intention to the technology. Through a mix of outreach and word-of-mouth, it reached the San Francisco Palace of Fine Arts, the California Academy of Sciences, the Stanford Linear Accelerator, and other notable art and technology events.

The challenge was turning DeepDream from a slow generative process into a magic mirror people could step in front of and instantly grasp.

Partners

Lifecycle

Exhibition Period 2016–2019

Key Skills & Tools

Python • OpenCV • Hardware Integration • Exhibition Design • Event Planning

Credits

Creator & Developer Gary Boodhoo

DeepDream Vision Quest, science fiction cave painting

My Role

Creator & Developer

Product Type

Art Installation (Gen AI)

DeepDream Vision Quest was an interactive AI art installation shown at festivals, galleries, and events from 2016–2019. After debuting at The Game Developers Conference, I became interested by how easily participants ascribed intention to the technology. Through a mix of outreach and word-of-mouth, it reached the San Francisco Palace of Fine Arts, the California Academy of Sciences, the Stanford Linear Accelerator, and other notable art and technology events.

The challenge was turning DeepDream from a slow generative process into a magic mirror people could step in front of and instantly grasp.

Partners

Lifecycle

Exhibition Period 2016–2019

Key Skills & Tools

Python • OpenCV • Hardware Integration • Exhibition Design • Event Planning

Credits

Creator & Developer Gary Boodhoo

Process

Contemporary mechanical hallucinations

From the start there was a mismatch. Live video runs at 30 frames per second, while DeepDream hallucinations emerge slowly. A completed image might take 20 seconds to fully resolve, so I didn't wait for them to do so. It was more important to watch the dream emerge in real time than to see it perfectly sharp right away.

Multi-scale image processing with DeepDream · DeepDream operates in successive stages, each yielding a sharper, higher-resolution output. Showing intermediate steps kept the system visually responsive.

A game of hide-and-seek · Stillness triggers dreaming, motion returns to live video. Refreshing the screen with partial dream updates kept the interaction feeling responsive.

Hardware

The physical pipeline

For every exhibition, my hardware rig was disassembled, transported, and reassembled onsite. Then broken down, packed, and stored again. Interesting how this physical pipeline mirrored the image generation pipeline. Over time, my logistics became rigorously simple, with labeled components tracked at every stage, including:

  • Small form factor Core i7 workstation 16GB

  • NVIDIA Titan X (Pascal) GPU

  • 30" 4K monitor

  • Logitech C920 webcam (2)

  • 65" HDTV

  • Mobile flat panel AV cart

  • Mobile computer cart

  • TV backlighting

  • USB control keypad

  • C-stands and mounts

  • Mobile computer cart

  • Venue-specific lighting

  • Cabling

  • Power adaptors and strips

DeepDream Vision Quest installation rig

Software

Hide and seek

As I mentioned, the system dreamed only when the video feed was nearly still. I counted differences between frames and when this value fell below a threshold, the system began hallucinating. When motion picked up again, the live feed smoothly faded back in. The experience was a game of hide-and-seek. Transitioning smoothly between the live and dreaming states became the key driver of my development efforts.

Motion detection monitor screen · Observing motion by counting pixel changes between frames. Once the scene settled under a threshold, the system slipped into dreaming

Time-series visualization of pixel changes · Plotting pixel changes (purple) to separate motion from stillness (green). A rolling average (orange) helped the system adapt for distance, background, and light.

Exhibition history

2019

Beyond Human Nightlife Event, California Academy of Sciences, San Francisco, CA, August 23

2018

The 5th Last Festival, Stanford Linear Accelerator, Stanford, CA, April 26–29

If So, What? (ISW) Festival, Palace of Fine Arts, San Francisco, CA, April 26–29

Lost Chord Awards for the Ritual, Sacred and Folk Arts, Qal’bu Maryam Women’s Mosque, Berkeley, CA, June 2

CODAME Art + Tech Festival, The Midway, San Francisco, CA, June 6–7

Noise Floor 2, Red Victorian, San Francisco, CA, August 25

2017

The 4th Last Festival, Hammer Theater, San Jose, CA, April 7–8

living.room, Soma Grand, San Francisco, CA, October 7

Noise Floor 1, The East Cut, San Francisco, CA, December 9

2016

CODAME Art + Tech Festival, Hotel Zetta, San Francisco, CA, November 11

Outcome

This project’s success opened doors to new professional opportunities, including a profitable creative AI workshop series and invitations to speak on prominent stages.

Partners

Lifecycle

Exhibition Period 2017–2019

Key Skills & Tools

Python • OpenCV • Hardware Integration • Exhibition Design • Event Planning

Python • OpenCV • Hardware Integration • Exhibition Design • Event Planning

Python • OpenCV • Hardware Integration • Exhibition Design • Event Planning

Credits

Creator & Developer Gary Boodhoo

Creator & Developer Gary Boodhoo

Creator & Developer Gary Boodhoo

Gary Boodhoo

Creative Direction • Product Design | Contact gboodhoo at gmail | Site Design Gary Boodhoo ©2025 | Made in San Francisco

Let's Connect

Here's My Resume

Gary Boodhoo

Creative Direction • Product Design | Contact gboodhoo at gmail | Site Design Gary Boodhoo ©2025 | Made in San Francisco

Let's Connect

Here's My Resume

Gary Boodhoo

Creative Direction • Product Design | Contact gboodhoo at gmail | Site Design Gary Boodhoo ©2025 | Made in San Francisco

Let's Connect

Here's My Resume

Gary Boodhoo

Creative Direction • Product Design | Contact gboodhoo at gmail | Site Design Gary Boodhoo ©2025 | Made in San Francisco

Let's Connect

Here's My Resume