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Holme Beach: An ANPR Camera Has Gone Live; Drivers Using the Car Park Being Charged Again

As declared, an automatic number plate recognition (ANPR) camera has reportedly been installed to monitor cars parked at Holme-next-the-Sea, near Hunstanton, in the English countryside of Norfolk.

With the new ANPR system enforced, drivers will now be charged £100 as fines if they don’t pay for using the Holme beach parking lot, according to Eastern Daily Press.

Fleshing Out the ANPR Parking System

Also known as Licence Plate Recognition (LPR), an Automatic Number Plate Recognition (ANPR) system is a specially designed high-speed image capture technology that can identify and read vehicle registration plates as they pass through an infrared camera.

Built on optical character recognition technology, an ANPR camera captures an image of a vehicle number plate as it enters or exits a parking lot. The image, when passed on to a compatible number plate reader, gets converted into standard Wiegand format ID numbers. Upon comparing this information with the record in the existing database, the access control system decides whether or not to grant access to that vehicle to the parking premises.

The recorded vehicle registration plate details and the location data can be used for various law enforcement and traffic management purposes.

Besides enforcing surveillance of vehicle entry/exit at parking facilities, an ANPR system ensures car parking security.

A cost-effective way to provide consistent data to parking management apps, an ANPR camera also helps with threat recognition, repeat delinquent detection, or targeting vehicles/block-listed vehicles.

For a ticketless parking lot, deploying high-quality ANPR surveillance cameras that seamlessly integrate with parking management and enforcement solutions, such as ZatPark, is essential for vehicle access control. 

High-end ANPR integration increases efficiency by enabling seamless processing of ANPR images. This type of system helps extend enforcement hours without increasing overhead expenses.

Advanced ANPR technologies ensure a 100% capture rate accuracy under recommended lighting conditions.

Fully automated ANPR camera systems do not require employees to operate them, thus reducing operating costs.

Deployment of ANPR Camera at Holme Beach Car Parking

The deployment of the ANPR system took shape after the Hunstanton Golf Club had been given a go-ahead by West Norfolk council in December to install the equipment in the parking lot it owns on Beach Road at Holme.

In a planning statement, the golf club, said: “The proposed installation of ticketing equipment would allow charges to be levied all year round on a more cost-effective basis.”

According to a report written by an officer who recommended the approval of the ANPR camera installation last year, “Based on the existing use of the land, the surrounding area and the level of natural screening, it is not considered that these small scale additions will have a significant visual impact or adversely affect the locality.”

Earlier, a kiosk was used to manage the parking premises at Holme beach. However, anyone arriving at the parking lot, when the kiosk was not open, could park their vehicles without paying until the concession closed in the summer of 2022.

Now that the ANPR surveillance camera is deployed, drivers need to pay £3 to park their vehicles for two hours, £5 for four hours, or £7 to park for an entire day.

Charges at the Holme beach parking are lower than the nearby Hunstanton Cliff Top car park, where drivers have to pay £2.20/hour, £4.20/two hours, £6/three hours, and £8/day.

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How AI and Cloud-Based Filmmaking Could Redefine the Way Videos & Films Are Made

Social media users and visitors on image and meme-sharing sites must have seen the image of the pope in a fancy jacket that’s been doing the rounds. The image is fake, of course. It was created by the artificial intelligence (AI) image generator, Midjourney.

The platform has since discontinued its free trial, citing “extraordinary demand and trial abuse” as the reason.

The thing is, AI–generated images are not the only thing taking the content world by storm. AI and the cloud are also changing the way videos are being made and edited.

In an article by Forbes, the author discusses how film and TV show production is being transformed by AI and camera-to-cloud technology.

Using AI in Film Production

AI technology has been used to change the appearance of actors, going as far as to make them look younger. This can be seen in the Miramax feature, Here, starring Tom Hanks and Robin Wright. Both actors start as younger versions of themselves and age through the course of the film.

For agencies, this can be a good thing as their best-selling actors can be made to “last longer” and be suitable for a larger variety of roles. 

However, creatives are insisting that technology can only support human creativity, not replace it.

AI can be very useful for sifting through information that might be tedious for humans to go through—like finding a scene from a longer piece of footage. This feature then frees up human creators to focus on other, less “automatable” tasks.

Camera-to-Cloud in Film Production

Michael Cioni, Adobe’s senior director of global innovation, claims that by 2030, all electronic assets in the media and entertainment industry would be “generated in the cloud, by the cloud.”

According to Cioni, edits and effects would be added to pre-shot scenes simply by telling the computer to do so, using text-based commands. For example, he said, one could shoot a scene and then add rain to it simply by typing “make it rain”.

Filmmakers would be able to create a rough “assembly” with basic visual effects, colour correction, and sound design. That would then be passed on to specialists to be refined.

Cloud-based filmmaking would also mean directors could collaborate with each other, even when they aren’t in the same physical location. It could also speed up short projects like music videos and advertisements.

In short, AI and cloud-based tools are being touted as a way to enhance productivity by delegating mundane tasks to them.

Legal Implications of AI in Filmmaking

However, lawyers are advising that contracts with “language that purports to control the right to simulate an actor’s performance are void and unenforceable until the terms have been negotiated with the union.”

This fact can be quite divisive as some actors might want to take advantage of technology to extend their “viability”. However, there is a concern that it might be used as a way to avoid paying for digital performances since they technically aren’t being played by the artist.

Content generation using AI has led to an authenticity concern, especially with deep fakes that seem extremely realistic.

Actor Keanu Reeves, who has been quoted as saying he finds the idea of deep fakes “scary” often has a clause in his contracts that forbid digital manipulation of his performance. Interestingly, this clause dates back several years—decades, even—when a production added a virtual tear on his face. 

According to the actor, any performer might expect the footage to be edited with their consent. However, deep fake is different, as it has no input from the performer.

Of course, this technology is still mostly limited to films and television productions. Corporate videos still require the services of video production companies, like Bold Content(Check out Bold Content’s contribution to encourage girls into STEM studies.)

However, with AI taking over so many tasks, it remains to be seen whether it will help enhance filmmaking or “take away jobs” in yet another industry.

Originally published in Geeky News