Lane recognition is a kind of technology which can reconstruct either continuous or discontinuous lanes in the driving region into the continuous curves from the images of the road containing the lane markings. It is the basis and prerequisite for the whole lane departure warning system and the key technology in intelligent traffic safety assistant driving now. Generally speaking, the road images which the camera captures are processed by three steps: image preprocessing, image threshold segment and lane recognition. This paper proposed an efficient system to detect the lanes and mainly made experimental research on the images simulation of the three kinds of algorithms of the threshold segment and used the principle of Hough Transform in the lane recognition. Finally, the relatively efficient and accurate lane recognition processing algorithm was obtained according to the experimental results. Undoubtedly, this would lay a theoretical foundation for putting lane detection algorithm into practical application.

Abstract-This paper designs a security system for warehouse's security. Based on linux and S 3C2440, this system's peripheral devices include temperature sensors, humidity sensors, cameras, web clients, Android clients, fans, and led. It uses the temperature sensor to monitor the temperature and fire, uses camera to real-time monitor whether there are unsafe factors. If the system detects that the room temperature is too high or too low, i t will automatically alarm the security staff and automatically open the fan. Through the camera real-time monitoring, the security staff might be suspicious persons or has unexpected events in the warehouse. The video surveillance also will capture real-time video data and transfer data to Android client, then security personnel will control the security information whenever and wherever if they need. If the warehouse breaks out of fire, thief, accident, and so on, this system will take automatic protective measures, capture video evidence, and warn the security staff. Finally, if the warehouse has an accident, the system will reduce the damage to the lowest.