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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.

The demand for location based services in automobile industry promoting applications in the area of telematics, vehicle to vehicle and infrastructure communications is encouraging research in the field of accurate navigation solutions. According to the ABI research, position data is the prime enabler for above mentioned applications and the in-car navigation market growth is predicted to grow at 25.9% over the next five years. Consequently position, velocity and heading form the prime input state vector for the target applications. Global Positioning System is one of the accurate off-board sensors for navigation solution. Nevertheless, the cost and complexity of these systems are posing the biggest challenge to the automobile research engineers. Least squares estimation is one of the proven methods used for computing positioning solution under static conditions. However, its accuracy is considered to be poor in dynamic cases.

Automated testing of manufactured products reduces the lead time to considerable extent in the process of production to delivery. Products like automobiles demand automated testing, for which robots and vision systems are widely employed. The basic functionality of a vision system in automation is to detect an object and then recognize it. In current automotive industry such systems are being used for robotic guidance, component tracking, dimensional gauging etc. There is a need to test the proper functionality of a speedometer fitted on a motorbike in the production line itself. Focused work on detection and recognition of Analog type and Digital type speedometer console reading of a motorbike is described in this paper. A vision based system is proposed which recognizes the speedometer reading instantaneously at the desired time.