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Vision based systems using cameras are widely used in various industry verticals. The basic functionality of a vision system is to detect an object and then recognize it. In current automotive industry these systems are being used in applications like collision avoidance, intelligent cruise control, blind spot detection, parking assistance, identify pedestrians, etc. During driving conditions, 2 wheeler and 4 wheeler drivers are required to concentrate more on the road because of which they may tend to miss the traffic signs; more often during night times. The traffic signs can be one way, U-turn, right/left turn prohibited, bump ahead and etc. So there is a need for a system which detects, recognizes and intimates these signs to the driver. Extensive research is being carried out in the area of recognizing a traffic sign, but more focused research is done for a complex problem of detecting the sign in the real world environment.

Today, the growing role of electronics in automobiles has gradually resulted not just in technological advancement but an increase in the complexity and cost of a vehicle. Especially in price conscious markets like Indian sub-continent, technologies like motorcycle Immobilizers are not seeing light in low-cost automobile (which make up to 75% of the market share) sector because of the reasons like cost of OEM integration and less secure aftermarket products. For addition of such a new functionality like vehicle Immobilizer with already existing Engine Control Unit (ECU) there is a need of efficient and innovative way that helps create an easily integrable low-cost system without compromise on its performance, quality, reliability and security.