Designing The Robotic Arm Is Controlled By A Microcontroller Based System

Project Description: The new computer-controlled conveyor belt is an exciting project that moves and positions items on the conveyor belt within <1 millimeter. The proposed project will pro­duce a new system for future installations, and for replacement of those in the field, at a low cost. The computer-controlled conveyor belt has the potential to be a critical unit in 30 percent of the systems installed in factories. The new system is also easier to update with future technologies. The Project Priority Matrix for the Conveyor Belt Project (CBP) is:

In 2010, S.Arivazhagan, R.Newlin Shebiah, S.Selva Nidhyanandhan, L.Ganesan had done their research, and they published their research named ‘Fruit Recognition using Color and Texture Features’. The objective of this project is to recognize a fruit based on four common features including intensity, color, shape, and texture of the object. Moreover,

In accession to the binary images, the proposed method may be tested on discrete color images also. These type of

The basic principle of this algorithm is to recognize the input paper currency. First of all acquired the image from a particular source. As in this thesis we use for reference images. System read the particular image. Then resize the image. After that the color separator convert the image into RGB to Gray scale and then in binary image. After that the system use color noise median filter. The currency length detector detects the length of the currency. Using the feature extraction techniques the system detect the particular feature of that currency and then the system use pattern matching algorithm to math that particular feature. The input image match with particular database image and according to that we find the currency. In this way this thesis design a automatic system in which we can recognized the paper currency.

The Algorithm Based Object Recognitions and Tracking (ABORAT) system offers the best solution for implementing a surveillance system based on automated behavior analysis. Its ability to interface with off-the-shelf products means

Robots are machines usually used to accomplish things too boring or dangerous for humans. Many robots are being made in the world today. The Valkyrie, Ian the Invincible, and the Alpha Dog are some examples. These are all very complex robots, but a Redbot is a robot that can be easily coded to do simple tasks. For the past two months, the Redbot Line Fisher was being created and adapted so that it will meet a service’s specific needs, improve life, and implicate social, economic, or political changes.

This automated warehouse system is said to triple distribution productivity by using robots to whip merchandise from storage areas to the shipping bays. These robots have already taken the place of lots of warehouse workers, but at the same time have opened the door for newer jobs that require workers to program and interface with the robots to get the job done correctly. These robots really show how robots will be moving into the workplaces to change how people will do jobs. As this is happening now in the industry, it will be more commonly seen as the technology advances and cost of the robots is more manageable for the efficiency that it provides.

A new innovative warehouse system it is been introduced to ease the movement of items in warehouses this system includes autonomous mobile vehicles which will move quickly through the warehouse and load and move orders to the fulfilment platform.

The picture of the vehicle whose number plate is to be distinguished is caught utilizing the advance camera. Next the number plate is removed by right of the bat changing over rgb image I.e., the caught picture to gray scale image with the specific goal to encourage the plate extraction, and increment the handling speed. Shading picture is produced by advance camera is changed over to dim scale picture utilizing. The essential

In this paper, the first section will be the overview of the industry and related previous work. Next, the possible solution will be presented including the feature localization and recognition. It is also accompanied with the experiment test of the algorithm. After that, the emission factor of different equipment activity will be gathered and presented. The potential benefits and limitation of the method will be discussed afterwards. Conclusion and future development will be in the last section.

Detecting a gray scale image is hard if there is an edge or color information could be helpful if we need known hue identify objects. If we don’t require any color we can considered as noise.

The pairing is done via two separate procedures as in a single detected object and separate object pair. These because of different color vehicle, the white and red vehicle are identified as single object in tail light segmentation. According to size (size > threshold) of detected object the searching of pair tail light done inside the detected object via above described properties. If

Every digital image mainly comprises of three components or it is made up of three colors that is RGB (Red Green and Blue) and each image is represented in a 3-dimensional which is very difficult to analysis and process. Therefore to overcome some difficulty initially each image is first converted into a gray image which is made up of white and black components of varying intensity.

Abstract— This paper proposed two set of edge-texture features is such as Discriminative Robust Local Binary Pattern (DRLBP) and Discriminative Robust Local Ternary Pattern (DRLTP) for object recognition. The proposed DLBP and DRLTP are resultant from the disadvantage of the Local Binary Pattern (LBP), Local Ternary Pattern (LTP) and Robust LBP (RLBP).The LBP system and the RLBP system are mapped in the same block .The proposed feature indentifies the problem of discrimination between a bright object against dark background and vice-versa. The proposed feature also retains contrast information for object contours the LBP, LTP and RLBP discards. By the proposed features the objects is further analyzed for the accurate position of the object in the given image.

Abstract: Automation is the use of machines, control systems and information technologies to optimize productivity in the production of goods and delivery of services. The correct incentive for applying automation is to increase productivity, and/or quality beyond that possible with current human labor levels so as to realize economies of scale, and/or realize predictable quality levels. Automated Vehicle Surveillance System is designed to elevate the level of Security in the premises where the system is installed. It provide the detail statistics of all Authorized vehicles like the time at which the vehicle left the premises (OUT), the time of entrance of vehicle in the premises(IN), Vehicle no., Vehicle Owner, Type of vehicle, etc automatically by reading the content of QR code which is pre-embedded on authorized vehicle. Also it automatically identifies unauthorized vehicle and blocks it from entering the premises by a gate barrier. It warns security officials of unauthorized vehicle by firing an alarm signal. The gate can be opened only if security officials examine the vehicle & grant access to it. The system is transparent, so that the vehicle that passes through it hardly notices its operation. This provides speedily operation and avoids inconvenience.