Silicon Labs digital UV sensors win UBM Canon ACE Award

Silicon Labs announced that its Si1132 and Si114x ultraviolet (UV) index sensor family has received an award in the “sensors” category at the EE Times and EDN 2015 UBM Canon ACE Awards.

The ACE Awards program recognizes the individuals and companies behind today’s most innovative technologies and products.

The winners were announced at an awards ceremony held earlier this week at the Santa Clara Convention Center, during the Embedded Systems Conference Silicon Valley.

“Winning the prestigious UBM Canon ACE Award validates the breakthrough innovation, versatility and value of our Si1132/4x UV sensors in biometrics applications for wearables,” said Ross Sabolcik, vice president and general manager of Silicon Labs’ Analog’s power and sensor products. “Silicon Labs has won the ACE Award in the sensors category two years in a row, underscoring the strength of our optical and environmental sensor portfolio for the IoT.”

As the industry’s first single-chip, digital UV index sensor IC solution designed to monitor UV sun exposure, heart/pulse rate and blood oximetry, Silicon Labs’ Si1132/4x sensor products provide efficient proximity/gesture control for smartphone and wearables.

The Si1132 and Si114x sensor ICs are designed for activity-tracking wrist and arm bands, smartwatches and smartphones.

Aside from enabling UV index sensing, the devices provide ambient light and infrared (IR) proximity sensing capabilities for health and fitness applications.

The Si1132/4x sensors meet the growing demand for UV sensing in wearable/handset products with its integrated features that help protect people from dangerous UV light exposure.

A panel of EE Times and EDN editors selected three finalists in each category from the multiple entries, based on key criteria. A panel of independent judges then selected the winners.

Previously reported, Silicon Labs introduced Si1132 and Si114x, the latest additions to Silicon Labs’ optical sensor family, last February.

Article Topics

awards  |  biometric sensors  |  biometrics  |  gesture recognition  |  Silicon Labs  |  wearables