Surveillance systems often struggle with managing vast amounts of footage, much of which is irrelevant, leading to inefficient storage and challenges in event retrieval. This paper addresses these issues by proposing an optimized video recording solution focused on activity detection. The proposed approach utilizes a hybrid method that combines motion detection via frame subtraction with object detection using YOLOv9. This strategy specifically targets the recording of scenes involving human or car activity, thereby reducing unnecessary footage and optimizing storage usage. The developed model demonstrates superior performance, achieving precision metrics of 0.855 for car detection and 0.884 for person detection, and reducing the storage requirements by two-thirds compared to traditional surveillance systems that rely solely on motion detection. This significant reduction in storage highlights the effectiveness of the proposed approach in enhancing surveillance system efficiency. Nonetheless, some limitations persist, particularly the occurrence of false positives and false negatives in adverse weather conditions, such as strong winds.

In the occupied Palestinian territories, there are cameras everywhere. In Silwan, in occupied East Jerusalem, residents say cameras were installed by Israeli police up and down their streets, peering into their homes. One resident named Sara said she and her family "could be detected as if the cameras were just in our house … we couldn't feel at home in our own house and had to be fully dressed all the time." Surveillance cameras now cover the Damascus Gate, the main entrance into the old city of Jerusalem and one of the only public areas for Palestinians to gather socially and hold demonstrations. It's at that gate that "Palestinians are being watched and assessed at all times", according to an Amnesty International report, Automated Apartheid.

At a location he keeps secret, John Honovich was on his laptop, methodically scouring every link on a website for a conference half a world away. Hikvision, the world's largest security camera manufacturer, was hosting the event--the 2018 AI Cloud World Summit--in its hometown of Hangzhou, a city of about 10 million people not far from Shanghai. Honovich, the founder of a small trade publication that covered video surveillance technology, wanted to find out what the latest Hikvision gear could do. He zeroed in on one section of the conference agenda titled "Eco-Friendly, Peaceful, Relaxed" and found a description of an AI-powered system installed around Mount Tai, a historically sacred mountain in Shandong. A video showed Hikvision cameras pointed at tourists climbing the thousands of stone steps leading to the famous peak.

The Federal Communications Commission voted 4-0 to ban sales of new telecom and surveillance equipment made by several Chinese companies, arguing that their ownership and practices threaten U.S. national security. The rule change affects 10 companies already subject to other restrictions and prohibits them from marketing or importing new products. The FCC made its order public Friday. The latest order stops short of requiring U.S. equipment buyers to remove items they have previously purchased or stripping authorizations for electronics models that already exist. A spokesman for Hikvision said the FCC's decision won't protect U.S. national security, "but will do a great deal to make it more harmful and more expensive for U.S. small businesses, local authorities, school districts, and individual consumers."

Lawyer and developer Matthew Butterick announced last month that he'd teamed up with the Joseph Saveri Law Firm to investigate Copilot. They wanted to know if and how the software infringed upon the legal rights of coders by scraping and emitting their work without proper attribution under current open-source licenses. Now, the firm has filed a class-action lawsuit in the District Court of Northern California in San Francisco. "We are challenging the legality of GitHub Copilot," Butterick said. "This is the first step in what will be a long journey. As far as we know, this is the first class-action case in the US challenging the training and output of AI systems. It will not be the last. AI systems are not exempt from the law. Those who create and operate these systems must remain accountable," he continued in a statement.

MPs have called for a ban on two Chinese CCTV systems that are used by councils, schools, and police forces across the UK. A group of 67 MPs and Lords including Lib Dem leader Sir Ed Davey and four ex-Conservative ministers is urging the government to ban the sale and use of Hikvision and Dahua cameras. The calls come amid concerns the CCTV cameras can recognise faces, eavesdrop on conversations, and judge people's moods. The Uyghurs, a predominantly Muslim ethnic group, are the majority population in Xinjiang. More than a million Uyghurs and other minorities are estimated to have been detained at camps in Xinjiang, where allegations of torture, forced labour and sexual abuse have emerged.

When students in suburban Atlanta returned to school for in-person classes amid the pandemic, they were required to mask up, like in many places across the US. Yet in this 95,000-student district, officials took mask compliance a step further than most. Through a network of security cameras, officials harnessed artificial intelligence to identify students whose masks drooped below their noses. "If they say a picture is worth a thousand words, if I send you a piece of video – it's probably worth a million," said Paul Hildreth, the district's emergency operations coordinator. "You really can't deny, 'Oh yeah, that's me, I took my mask off.'"

Hikvision has added to its DeepinView camera line with what it calls the Dedicated subseries. The company says this loads a batch of artificial intelligence-powered deep learning algorithms into each unit, which are of use in two distinct categories. The first is vehicle analysis, where cameras combine automatic number plate recognition with vehicle attribute recognition - including make, colour and direction of movement. Typical installations would be on city streets and at the entrances of car parks and buildings. Models in the second category have six switchable deep learning algorithms in one camera housing, including facial recognition, face counting and queue management.

Hikvision has enhanced its DeepinView camera line by adding AI-powered deep learning algorithms to improve performance and deliver competitive pricing, the company announced. The Dedicated Subseries are an example of AI chipset performance and how the technology can be used in security. Hikvision says its algorithms can be switched to have as many as five or six capabilities in one housing. "Embedding switchable algorithms is a significant step for Hikvision to take in its AI product development. In a world of ever-changing technologies and functionalities, this approach creates great value for end users to try new technologies to ensure security, as well as to implement business intelligence and other applications," said Frank Zhang, president of the International Product and Solution Center at Hikvision in a prepared statement .

CV is a nascent market but it contains a plethora of both big technology companies and disruptors. Technology players with large sets of visual data are leading the pack in CV, with Chinese and US tech giants dominating each segment of the value chain. Google has been at the forefront of CV applications since 2012. Over the years the company has hired several ML experts. In 2014 it acquired the deep learning start-up DeepMind. Google's biggest asset is its wealth of customer data provided by their search business and YouTube.