Regardless of a company’s size or income, the most recent research report from Quadintel offers a thorough analysis of the global Event-Based Vision Systems Market for the years 2023–2030.
The global market report provides statistics and information on the evolution of the investment structure, technological advancements, industry trends and developments, market players’ capabilities, and in-depth details on the major market players. The analysis also includes a summary of the global market strategies that have been implemented in light of the industry’s present and future conditions.
An overview of the Event-Based Vision Systems Market, the current state of the industry, market trends, significant market participants, product type, application, and geography are provided at the beginning of the study. It also covers how COVID-19 has affected market participants, end-user industries, future predictions, growth potential, and worldwide market trends.
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Latest AI-driven advancements in computer vision focus on emulating the characteristics of the human eye in a vision sensor system. Also known as a neuromorphic or event-based vision system, or dynamic vision sensor (DVS) camera, the system can potentially transform the computer vision landscape by ensuring reduced latency and lower power consumption for upcoming solutions. Its potential application areas include autonomous vehicles (for lower latency, HDR object detection, and low memory storage needs), robotics, IoT (for low power, always on devices), augmented reality/virtual reality (AR/VR) (low power and low-latency tracking), and other industrial automation use cases.
Patent Trend Analysis
Patent filings over the last decade (2010-2019) were analyzed to evaluate the level of participation of various entities in the R&D space. This section details the assignee landscape and key patents in the domain. The different patent filings have been studied to understand the key challenges addressed by the patent publications. Additionally, patent filings related to event-based vision technologies with a focus on automotive applications are described in-depth to highlight the different deployment scenarios spanning the sector.
Competitive Intelligence
The section provides a detailed description of established companies, startups, and research institutes working on event-based cameras. Different parameters, including company overview, technology stack, partnerships, key personnel, future roadmap, and limitations have been considered for a comprehensive competitive profiling.
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Companies mentioned in the report
1. Prophesee
2. iniVation
3. Insightness
4. Qelzal
5. MindTrace
6. CelePixel
7. Sunia
8. Australian Institute of Technology
9. Samsung
10. Sony
Key Insights
1- Event-based vision systems overcome the issue related to redundant information in the traditional frame-based vision systems.
2- Event-based technology is at the early stages of development and significant research and investments are increasingly focusing on accelerating the development of such systems.
3- Event-based vision techniques are being explored in the automotive sector for both in-car applications and for scenarios outside the vehicle.
4-Some early adopters of the technology are focusing on the DVS fabrication processes and on pixel size reduction.
5- Samsung is amongst the earliest adopters of the DVS technology.
6-Research laboratories are focusing on emulating the various parameters of DVS to address challenges such as low dynamic range, pixel size, motion blur, and high latency.
7- Event-based vision systems are finding application in self-driving cars, drones, IoT, robotics, wearable devices, and surveillance.
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Key questions addressed in the report:
What is the difference between frame-based vision and event-based vision?
How do event-based vision techniques overcome the limitations of a traditional frame-based vision system?
What are the key challenges faced by technology, and which are the entities addressing them?
What is the patent filing trend for the technology between the years 2010-2019?
How is event-based vision technology transforming the automotive sector?
What is the competitive scenario for event-based vision technology?
What are the projects and research activities related to the technology?
Which universities and research institutes, active in the domain, should you watch?
What are the different collaborations and investment opportunities for new companies seeking to explore event-based vision technologies?
In this report, the following important queries are addressed:
- What is the Global market’s sales value, production value, consumption value, import, and export (including North America, Europe, Asia-Pacific, South America, Middle East, and Africa)?
- Who are the major manufacturers in this sector on a global scale? How are their capacity, production, sales, pricing, cost, gross, and revenue operating?
- What are the vendors’ market prospects and risks in the international industry?
- Which product types, end users, or applications might be looking for additional growth prospects? What is each type’s and application’s market share?
- What specific strategies and limitations are keeping the market in check?
- What is the various marketing, sales, and distribution channels in the international market?
- What are the upstream raw materials, as well as the manufacturing machinery?
- What are the market opportunities, market risk, and market overview of this industry?
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