Ams OSRAM and Vivo Integrate Advanced Sensing for Smarter Screens

Smartphone screens and cameras are becoming significantly more aware of their surroundings, thanks to a new integrated sensing solution unveiled by ams OSRAM. The system is designed to help devices adjust their display and image capture settings in real-time, ensuring that what users see on their screens matches the reality of the environment more closely. This approach moves beyond simple brightness adjustments to a more nuanced understanding of light quality and spatial depth.

The technology was presented at the 2026 China International Optoelectronic Exposition, where it was highlighted as a step toward more natural visual experiences on mobile devices. By combining several advanced sensor types, the solution allows phones to detect ambient light, identify light sources, and measure distance simultaneously. This integrated chain of sensing capabilities is intended to reduce the gap between the digital image and the physical world, particularly in challenging lighting conditions.

Sensing Under the Display Glass

A key component of this system is a spectral color sensor positioned behind the OLED screen. Unlike traditional sensors that sit above the display, this unit works through the glass, which allows for thinner bezels and a more immersive screen. It is engineered to function effectively even when the display has very low light transmittance, a common trait in modern high-resolution panels. This capability ensures that the phone can accurately measure ambient light levels and color temperature without being blinded by its own screen or struggling in low-light environments.

The practical benefit for users is a display that adapts more intelligently. Instead of just increasing brightness when it gets dark, the phone can fine-tune color management and white balance to match the surrounding light. This helps maintain visual comfort and accuracy, whether the user is reading text in bright sunlight or watching a video in a dimly lit room. The sensor also includes features for proximity detection and infrared suppression, adding layers of utility without requiring additional physical components.

Improving Camera Accuracy and Stability

On the rear of the device, a multi-channel spectral sensor handles the heavy lifting for camera quality. This sensor is designed to emulate human color perception, providing precise data for automatic white balancing and exposure control. It can also detect flicker caused by artificial lighting, a common issue that can cause banding or color shifts in photos and videos. By identifying the type of light source and its stability, the camera system can make rapid adjustments to produce more consistent and true-to-life images.

According to GN technics/mobile (en-US), this sensor includes built-in optical calibration data to compensate for variations between different devices. This simplifies the manufacturing process and ensures that each phone performs consistently out of the box. The result is a more stable shooting experience, especially in complex lighting scenarios where standard cameras often struggle to maintain color accuracy. Users can expect fewer instances of unnatural color casts in their photos, leading to a more reliable photographic tool.

Understanding Space With Depth Sensors

The solution also introduces a direct time-of-flight sensor, marking its first use in a smartphone. This type of sensor measures the time it takes for light to bounce back from objects, providing real-time depth information. With a wide field of view, it can map the spatial position of subjects in front of the camera. This capability enhances features like portrait mode, allowing for more accurate separation between the subject and the background.

Beyond basic photography, this depth data supports more complex applications such as augmented reality and spatial scanning. It helps the device understand the three-dimensional layout of the environment, which is crucial for immersive experiences. However, integrating these sensors adds complexity to the device's hardware. The trade-off is a slightly more intricate manufacturing process, but the payoff is a phone that can 'understand' space rather than just capture flat images. This shift represents a significant step in how mobile devices interact with the physical world.