Skip to main content

Philips WOWvx 3-D TV for In-Store Retail Ads

Wired News reports that a new line of 3-D televisions by Philips uses the familiar trick of sending slightly different images to the left and right eyes -- mimicking our stereoscopic view of the real world.

But where old-fashioned 3-D movies rely on the special glasses to block images meant for the other eye, Philips' WOWvx technology places tiny lenses over each of the millions of red, green and blue sub pixels that make up an LCD or plasma screen. The lenses cause each sub pixel to project light at one of nine angles fanning out in front of the display.

A processor in the TV generates nine slightly different views corresponding to the different angles. From almost any location, a viewer catches a different image in each eye.

Providing so many views is key to the dramatic results. With the Philips technology, viewers can move around without losing much of the effect -- one set of left/right views slips into another, with just a slight double-vision effect in the transitions.

The TV can also display standard two-dimensional images, close to HD quality. The uncanny 3-D illusion stops people in their tracks, as it's meant to. Philips is initially selling the 42-inch screens to retailers who will create 3-D ads to grab the attention of passing shoppers.

Popular posts from this blog

AI Agents Have Memory. Where is The Security?

Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...