Cameras were first installed on the windshields of some Metro buses last year, but the first tickets were issued in mid-February. Initially, the only buses to have cameras were along line 212, from Hollywood/Vine to Hawthorne/Lennox stations via La Brea Avenue, and line 720, from Santa Monica to downtown L.A. via Wilshire Boulevard. Line 70, which services Olive Street and Grand Avenue, and lines 910 and 950 that serve Metro's J Line have since been included. The AI-powered cameras scan for illegally parked cars and compile a video of each violation, a photo of the license plate and the time and location, according to the Los Angeles County Metropolitan Transportation Authority. Each citation is reviewed by a human.

Artificial intelligence-powered cameras are being installed on Los Angeles Metro buses to help ticket cars parked in bus lanes. Testing is planned for this summer and the program is expected to go live by the end of 2024, Metro said, after two months of community outreach to "ensure that the public is aware of the purpose, timing and impacts of this new program." "Once cameras are installed, there will be a 60-day warning period for drivers. During the first 60 days, warning citations will only be used as informational notices and will not result in any violations," the agency said. The program, designed by technology company Hayden AI, is meant to improve bus times, increase ridership and address mobility concerns.

Amazon is reportedly using artificial intelligence (AI) to determine how much its delivery drivers should be paid by and their employment status. According to The Information, which first reported the news, the AI-powered surveillance cameras in delivery trucks are monitoring the driver's behavior and scoring them on safety infractions like tailgating, speeding or illegal U-turns. The news outlet says it obtained confidential documents that reveal cameras inside vans count the number of potentially dangerous actions – most equal one point, but others like running a stop sign are worth 10 points. The documents also states that contracted drives receive a report card each week, showing their performance that ranges from'fantastic' to'poor' that shows how many infractions occurred for every 100 trips. Those with five or fewer violations per 100 trips usually receive a'fantastic' score, according to The Information. The Amazon documents also states that the firm will remove some infractions to balance to account for'edge cases' where the cameras' AI software misidentifies violations.

Researchers at Stanford University have developed a prototype toilet that uses an artificial intelligence-trained camera to track the form of feces and monitor the color and flow of urine. A "lab-on-a-chip" device built into the toilet will analyze micro stool samples to detect viruses like Covid-19 and blood, says Seung-min Park, the lead researcher on the project. This digital diary could yield valuable health insights and facilitate early, noninvasive diagnosis of irritable bowel syndrome or colorectal cancer, Dr. Park says. A look at how innovation and technology are transforming the way we live, work and play. An app would allow users to track health parameters.

While each country is working its way around curbing the outbreak of the Coronavirus through quarantines, lock-downs, social distancing and more, technologies like Artificial Intelligence are becoming beyond useful to monitor and respond to the crisis. Artificial Intelligence has assisted in various ways to fight COVID-19, including diagnosis of the disease, accelerated research, development of drugs, and vaccinations out of the many. However, considering that social distancing has been recognised as a fundamental measure to slow down the spread of the pandemic, an Indian tech company has developed a thermal-vision AI-powered camera that not only measures forehead temperatures but also detects facemask and social distancing violations. Developed by Vehant Technologies -- a pioneer in AIML based physical security, surveillance and traffic monitoring solutions, FebriEye deals with a thermal screening system specifically created with analytics that monitor facemask and social distancing. This AI-powered camera will prove to be useful at entrances to public events, airports, metro stations, manufacturing plants, buildings, hotels, commercial complexes, shopping malls, as well as gated societies.

Farming has come a long way since the invention of the the plow and manual process in growing and harvesting crops. The farming industry has been quick to adopt AI to revolutionize the old techniques used in the past. As a result, farmers have been able to reduce or even eliminate unnecessary work while simultaneously boosting crop yield. Today we would like to take a look at some of the ways AI has influenced agriculture in the past decade and how it impacted the lives of the farmers as well. The first and perhaps the most basic process involved in agriculture is actually planting the seeds of the crop(s) that you wish to grow.

Google has discontinued selling its artificial intelligence-powered camera device called'Clips'. The device, which was launched in 2017 at a price of $249, uses machine learning to learn and recognise faces and automatically records short motion images of things it finds "interesting". Google said it has begun integrating'Clips' technology into the'Photobooth' feature starting with its Pixel 3.

Paul Hildreth looked at images from security cameras set up at schools in Fulton County, Georgia. He began watching a video of a woman walking inside one of the school buildings. The top of her clothing was bright yellow. Hildreth used his computer's artificial intelligence, or AI system to find other images of the woman. The system put the pictures together in a video that showed where she currently was, where she had been and what she was doing.

Walmart has been surveilling its checkout registers using a computer vision technology called Missed Scan Detection to identify when items move past the scanner without having been scanned. As reported by Business Insider, the technology has been implemented in more than 1,000 stores across the US over the past two years, and it monitors both self-checkout kiosks and traditional registers managed by human cashiers. The system runs on cameras that watch as items move across the register. If an unusual activity occurs, such as an item moving into a bag without being scanned, a checkout attendant will be notified to take action. Missed Scan Detection was designed to help reduce theft and other losses, a problem that has cost US retailers up to $47 billion in 2017.

Retail chain Walmart says it uses AI face detection in cameras at over 1,000 store locations. It turns out, those "selfie cameras" at Walmart's checkout lines have been watching you back. The retail chain utilizes what it internally calls Missed Scan Detection, which helps detect when an item lands in a shopping bag without being scanned. The AI-powered visual scanners/cameras are placed at both self-checkout registers and ones run by store cashiers. SEE ALSO: Did Walmart Convince FedEx to Dump Amazon?