Advances in Three-dimensional Vision Sensors and Image Processing Algorithms Boost Innovative Applications across Various Industrial Sectors

Rapid advances in 3D vision sensors and image processing algorithms have resulted in an increased adoption of 3D vision system as a tool for solving challenging and complex vision tasks in a manufacturing line. Use of 3D vision sensors for human computer interfacing is becoming immensely popular such as in the latest industrial robot applications to enhance robot flexibility and intelligence. The current trend in state-of-the-art vision systems is the presence of graphical interfaces for operators and comprehensive monitoring environments that even untrained technicians can handle with ease. “Several startup companies have identified the potential for 3D vision techniques and 3D depth sensing for various applications,” notes the analyst of this research. “The manufacturers will have a faster return-on-investment (ROI), due to the swift time-to-market for technologies in this space.”

3D vision technology is poised to affect a wide variety of industries such as industrial automation and manufacturing, automotive safety, gaming, consumer electronics, as well as surveillance and biometrics for security. The primary driver for widespread adoption of 3D vision and image sensors is the advances in enabling technologies for 3D vision. Over the past decade, enhanced processing capabilities and semiconductor technology have significantly miniaturized the existing electronics devices. Consequently, the price of high-speed processors and memories has decreased, and programmers and developers are able to achieve more with processors. Additionally, intelligent software to process the information from hardware boosts several application areas.

Cost-effective Technologies are Expected to be Largely Used

The high cost of equipment is a major challenge for 3D sensing. Customers and end users often opt for other incumbent technologies due to price, complexity, and cost of factory-wide deployment of a new technology requiring a huge capital investment. “3D Vision technologies such as laser triangulation and stereovision come with a hefty price tag, restraining effective factory-wide deployment,” explains the analyst.

Technologies that lead to cost reduction are expected to be largely used. Furthermore, it is useful to offer inexpensive assembly and production concepts that lead to high yield and cost reduction along the value chain. Development of low-cost solutions based on complementary metal oxide semiconductor (CMOS) image sensors for 3D applications is a key enabler to overcome the limitations posed by cost barriers. The photon mixer device (PMD) technology has paved way for low-cost and robust 3D CMOS solutions. “There are low-cost solutions emerging that will enable near proximity tracking with high resolution,” concludes the analyst. “This level of technology will allow for extremely detailed hand pose and motion detection, leading to another level of gesture control, particularly for laptop and cell phone control.”

TABLE OF CONTENTS

1. Executive Summary
   1.1 Scope of Research and Research Methodology
   1.2 Key Findings

2. Technology Snapshot and Trends
   2.1 Technology Capability
   2.2 Estimation Techniques and Technology Value Chain

3. Impact Assessment and Analysis
   3.1 Market Impact of Key Innovations
   3.2 Market Impact of Technology / Business Accelerators and Challenges

4. Needs Assessment; Opportunity Evaluation and Roadmapping
   4.1 R&D Scenario and Demand Side Analysis
   4.2 Emerging Opportunities and Roadmap

5. Key Patents and Contact Details
   5.1 Patents and Contacts
   5.2 Decision Support Database