Next Generation Autofocus and Optical Image Stabilization System for Camera Modules Using Magnetic Shape Memory Actuators

Abstract

Currently, camera modules are used in a wide range of applications ranging from micropositioning actuator systems used in smartphones to larger modules used in stationary cameras, CCTV, and others. Modern camera modules are required to perform positioning functions to improve the stability and quality of captured images. These functions mainly include the autofocus (AF) and optical image stabilization (OIS) functions. Traditionally, separate actuators and sensors are used for AF and OIS, each contributing towards energy consumption, module size, and manufacturing costs. This is particularly disadvantageous in the case of smartphones owing to their inherent space and battery charge limitations. This paper presents a novel Magnetic Shape Memory (MSM) actuator system that combines the AF and OIS functions, which are performed using two actuators; thus, this system is a simple, compact, and costeffective solution to the drawbacks of conventional technology. Furthermore, the smart properties of MSM alloys reduce the energy consumption of these systems through the utilization of their inherent holding forces and the associated shape memory effect. The realization of AF and OIS functions is discussed and verified experimentally for the proposed actuator system using data obtained from a fabricated prototype.

Anchor-Based, Real-Time Motion Compensation for High-Resolution mmWave Radar

“…EIS thus reduces the system hardware involved, at the expense of increased post-processing complexity and greater latency. More advanced techniques have explored the use of magnetic shape memory actuators to simplify system hardware [55], as well as post-processing algorithms including combined global/local motion estimation [56], co-optimized frame stitching and stabilization [57], deep learning [58], and graph optimization [59]. With all algorithms, however, complexity and latency tradeoffs remain.…”