Asia-Pacific Traffic Sign Recognition Market
The Asia-Pacific market for traffic sign recognition systems was estimated to be worth USD 135 million in 2015 and is expected to reach USD 240 million by 2020, at a CAGR of 12.20%. Computers offering increased processing power have made the goal of real-time traffic sign detection and recognition achievable. The new models of premium vehicles are equipped with these types of driver assistance systems that offer automated detection and recognition of certain classes of traffic signs.
Traffic sign detection and recognition is becoming critical with the advent of autonomous vehicles. Every road needs to be periodically checked and updated for any missing or damaged signs as such signs pose safety threats. These checks are usually done by driving a car down the road and recording the observed problem by hand. This tedious task of manually checking the state of every traffic sign is also prone to human error. Traffic sign recognition techniques using computer vision technologies to detect traffic not only make the task automated but are also carried out more frequently, resulting in greater road safety.
The traffic sign recognition systems are usually developed in two specific phases. The first phase relates to the detection of traffic signs in a video sequence or image using image processing techniques. The second phase is related to the recognition of these detected signs, which is directly related to the performance of an artificial neural network. The detection algorithms are normally based on the shape or the color segmentation. The segmented potential regions are extracted to be input in the recognition stage.
The efficiency and speed of the detection play a critical role in the system. These traffic sign recognition systems represent applied computer vision techniques wherein the driver is cautioned about the dangers ahead and the system can even automatically take control of the vehicle’s speed, depending on the traffic signals. Given the rate of casualties resulting from human error on the roads, employment of this technology in combination with effective human-machine interfaces will dramatically reduce accident rates.
Asia-Pacific Traffic Sign Recognition Market- Drivers
- Stringency in mandating the reduction of vehicular pollution
- Use of enhanced technologies for road safety by governments
- The need to reduce the rate of road accidents caused by human error
- Increase in the demand for premium vehicles and advanced features
- Advancements in research into sensors, cameras, and other automobile technologies
While most manufacturers are integrating sensors and cameras for traffic sign detection and recognition in new cars, other sensor-based companies are offering add-on sensors that can be used in cars without pre-installed pedestrian detection systems, including names like Mobileye. Among applications, color-based detection systems are expected to have the highest share in the traffic sign recognition control systems.
Some of the key market players are:
What the Report Offers
- Market definition along with identification of key drivers and restraints for the market.
- Market analysis with region-specific assessments and competition analysis on a regional scale.
- Identification of factors instrumental in changing the market scenario, rising prospective opportunities and identification of key companies that can influence the market on a regional scale.
- Extensively researched competitive landscape section with profiles of major companies along with their strategic initiatives and market share.
- Identification and analysis of the macro and micro factors that affect the industry on both regional scale and country wise.
1.1 Key Findings
1.2 Research Methodology
2. Executive Summary
3. Market Insights
3.1 Market Overview
3.2 Factors Driving the Market
3.2.1 Increasing Stringent Norms Related to Driving
3.3 Factors Restraining the Market
3.3.1 Technology is Error Prone
3.3.2 No Set Standards Regarding Traffic Signs
3.3.3 Costs are High
3.4 Industry Value Chain Analysis
3.5 Industry Attractiveness – Porter’s Five Forces
3.5.1 Bargaining Power of Suppliers
3.5.2 Bargaining Power of Consumers
3.5.3 Threat of New Entrants
3.5.4 Threat of Substitute Products or Services
3.5.5 Competitive Rivalry among Existing Competitors
3.6 Current Opportunities in Market
3.7 Industry Policies
4. Technology Overview
4.1 Technology Snapshot
4.2 Types of Traffic Sign Detection
4.2.1 Colour-based detection
4.2.2 Shape-based detection
4.2.3 Feature-based detection
4.3 Upcoming Technologies
5. Traffic Sign Recognition Market by Regions – Forecasts (2015 - 2020)
5.1 Asia Pacific
5.1.2 Market Forecast and Analysis
5.1.3 Analyst View
6. Competitive Intelligence – Key Vendor Analysis
6.1.2 Products and Services
6.1.4 Recent Developments
6.2.2 Products and Services
6.2.4 Recent Developments
6.3.2 Products and Services
6.3.4 Recent Developments
6.4.2 Products and Services
6.4.4 Recent Developments
6.5.2 Products and Services
6.5.4 Recent Developments
6.6.2 Products and Services
6.6.4 Recent Developments
6.7 Hella Aglaia Mobile Vision
6.7.2 Products and Services
6.7.4 Recent Developments
6.8 Continental Automotive
6.8.2 Products and Services
6.8.4 Recent Developments
6.9 Skoda Auto
6.9.2 Products and Services
6.9.4 Recent Developments
6.10 Continental Automotive
6.10.2 Products and Services
6.10.4 Recent Developments
6.11.2 Products and Services
6.11.4 Recent Developments
6.12.2 Products and Services
6.12.4 Recent Developments
7. Future of Traffic Recognition System Market