Plate Recognition Essay

The digital image of the face of a person can be matched against a record of other images by using face recognition software. In case that some of the images in the database go with the digitized image, the owner is reported about it by the system. Automatic face recognition has been studied and investigated extensively since 1990s and its usage is turning out to be no-nonsense in the present times. Although a number of automatic face recognition applications are relatively agreeable and harmless (access regulation to armaments, currency, illegal proof, nuclear equipment/supplies etc), there are still several dangers of face recognition systems that include violation of privacy and civil liberties, unrestrained exploitation, identity theft, illegal use of database, free access to personal data on social media etc. (Agre, 2001).

I chose to analyze the case study, Tug Of War that was written by Yossi Sheffi and is found in the Harvard Business Review.

This alphanumeric combination allows the state’s administrative agency, usually the state’s Department of Motor Vehicles, to identify the owner or operator of that vehicle. In addition to these assigned standard license plates, the owner or operator of the vehicle may elect to buy a specialty and/or vanity license plate. These personalized plates

“License plate recognition (LPR) technology is a vehicle-scanning device deployed by law enforcement to detect wanted vehicles… LPR automates this manual approach and also reduces the use of officers’ discretion in deciding which tags to run since all tags within view are scanned. Some LPR systems can scan up to four lanes of traffic and read 8,000-10,000 plates in just one shift.”

The license plate reader, LPR is a mobile plate hunter that comprises of a camera(s) placed on the outside of a squad car that is then connected to a computer database inside the squad car. The plate hunter has the capacity to recognize the character on a number plate and rapidly relay the information to the database computer that would verify of the owner or the automobile has any record or if the vehicle has been reported stolen/missing. This ability is even possible when the squad car is moving at 75 mph and can check up to 3, 000 number plates within an hour. Any offending incidence is brought to the attention of the officers by a siren or alarm the computer makes; stolen or revoked license. (Hanlon 2007)

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 brain identifies what it sees in a series of steps. The brain makes a feature map of the eye breaking the visual field into sections. Information collected in a particular section of the visual field will always be sent to the

A series of experiments was performed on glass beads and natural clean dry sands under the objective of the current work of performing parametric studies. Therefore, new techniques and methods were utilized to predict the gradation of the natural cohesionless silica sands tested in addition to the conventional geotechnical laboratory experiments, which were carried out to predict the mechanical characteristics of such soils. Moreover, ideal laboratory simulations for the SPT were performed under several particular relative densities, loading conditions, and stress-strain controlled boundaries. Additionally, the obtained results from such series of experiments were stored in digital forms for further processing and analyses.

The advent of license plate readers (LPRs) has brought joy to law enforcement due to the ways in which LPRs can facilitate ongoing investigations. However, it has also brought concern to privacy advocates and law-abiding citizens whose data is also being picked up by LPRs. Allison Klein and Josh White’s Washington Post article, titled “License Plate Readers: A Useful Tool for Police Comes with Privacy Concerns,” explores these two perspectives.

Technology in the policing field has revolutionized the way police officers go about their job on a daily bases. It is constantly changing for both the good and the bad, and helps to create a safer and better environment for citizens to live in. Automatic Number Plate Recognition (ANPR) is just one of the many technologies that have been discovered, and put into place throughout the policing community. Automatic Number Plate Recognition is means of surveillance that uses optical character recognition on various images and makes reading license plate numbers possible. They do this through the use of existing closed-circuit television, road enforcement cameras, or ones specifically designed for the task. This technology has been

Vision is the most important sensory compared to other sensory modality therefore there is a wide range of research carried out on vision. Visual attention is defined as a term that portrays how individuals are able to change their view while attending to an image that is of a normal perspective due to the neurones in the cortex (Carasco, 2011). It is often described as a focal point which is situated with different locations in the region of space (Wright, 1998). Visual search requires detecting a specific target as quickly as possible. For example, trying to find your car in a large car park. By focusing our attention to the specific environment it improves our visual search of the target (Keane et al., 2015). The speed of a visual search

Programs like recorded CCTV, data mining software for point of sale, electronic security tags are put in place to detect theft occurrences

Through this routine of advanced technology analysis, it has been established to increase the results and have hastened the procedure of identifying suspects of crimes. Facial recognition is also necessary for public involvement and observation as it also aids law enforcement officials to more easily zone in on possible suspects of a crimes being caught. With the use of facial recognition, it constantly has been proven quite an effective method with the incorporation of this technique.

This essay will talk about face recognition and several reasons why it has been studied separately. The ability to recognise faces is of huge significance of people’s daily life and differs in important ways from other forms of object recognition (Bruce and Young, 1986). Than this essay will talk about the processes involved in face recognition which comes from the diversity of research about familiar and unfamiliar faces-it includes behavioural studies, studies on brain-damaged patients, and neuroimaging studies. Finally, it will discuss how face recognition differs from the recognition of other object by involving more holistic or configuration processing and different areas of the brain (Eysenck & Keane, 2005).

Barcoding is governed by Universal Product Code UPC whereas RFID is governed by electronic product codes EPC. In its evolution Barcodes were categorized as 1D, 2D and 3D with increasing capacity to store information like manufacturer, product type, batch number etc. Similarly RFID has Active and Passive tags that are being chosen according to the necessity and level of security. An Auto-ID system implementation to a warehouse or a facility takes into account strategic,