CHICAGO--Several technology companies are working with police departments across the U.S. to develop the capability to add artificial intelligence to video surveillance and body cameras that could identify faces in real time, potentially expanding the reach of police surveillance. The body-camera technology, expected to be ready by the fall, hasn't yet been purchased by police departments and is still in the development stage. Police departments, including the New York Police Department, already use facial recognition to review surveillance footage after a crime has occurred. The new software uses an algorithm to tell an officer on the spot, through a body camera or a video surveillance camera, that it has found a suspect. The officer could then make a decision of whether to stop the suspect or take some other action.

There are three leading trends currently shaping the future of technology-based industries. At the nexus of these emergent areas of IoT, Cloud, and artificial intelligence is a new player on the Vancouver tech scene. Motorola Solutions, a leader in advanced security technology and a new addition to the realm, is looking for skilled tech talent to join its local team. "Motorola is a well-known name, but people often associate it with the consumer mobile phone company. That's not Motorola Solutions today, though," Hamish Dobson, vice president of product management at Motorola Solutions, tells Daily Hive.

The M500, Motorola Solutions' AI-enabled in-car video system for law enforcement, introduces advanced analytics to drive operational efficiency, safety and transparency for law enforcement and citizens. The M500, Motorola Solutions' AI-enabled in-car video system for law enforcement, introduces advanced analytics to drive operational efficiency, safety and transparency for law enforcement and citizens. CHICAGO--(BUSINESS WIRE)--Motorola Solutions today introduced the first AI-enabled in-car video system for law enforcement, the M500. The solution is bringing more powerful capabilities to the police vehicle to enhance awareness and safety while building trust and transparency throughout communities. The M500 features new backseat passenger analytics which automatically start the in-car camera recording as soon as an individual enters the back of a police car.

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Avigilon Corporation, a Motorola Solutions company, presents the newest version of its video management software, Avigilon Control Center (ACC) 7.4, which incorporates artificial intelligence-powered facial recognition technology. FEATURES OF AVIGILON CONTROL CENTER (ACC) 7.4 The new "appearance alerts" capability will help commercial organizations, such as educational institutions and hospitals, accelerate response times by identifying people of interest in enterprise settings. For example, the technology can alert the security team at a local high school when a banned or flagged individual has entered the campus. People of interest are identified based on a secure, controlled watch list created and maintained by authorized users at the commercial organization. For organizations that use the new ACC software and license their Avigilon cameras for facial recognition, cameras will seek to identify potential matches based on the watch list.

On the heels of several new acquisitions and product announcements in recent months, Motorola Solutions is announcing a new radio equipped with a voice assistant, which the company says is the first of its kind. The public safety radio is called APX NEXT, building upon the company's prior APX two-way radios, and the virtual assistant that controls it has been dubbed ViQi (pronounced "Vicky"). The company's news release on Thursday said the radio is FirstNet-ready, built with LTE connectivity, and is the first APX radio to feature a touchscreen, designed for field use including with rain or gloves. Motorola Solutions Chief Technology Officer Mahesh Saptharishi said that besides being able to control the radio, the virtual assistant responds to commands like "ViQi, run a license plate," and can also look up driver's license information and vehicle identification numbers. He said other functions will come with future updates.

Kimberly Krawczyk says she would do anything to keep her students safe. But one of the unconventional responses the local Broward County school district has said could stop another tragedy has left her deeply unnerved: an experimental artificial-intelligence system that would surveil her students closer than ever before. The South Florida school system, one of the largest in the country, said last month it would install a camera-software system called Avigilon that would allow security officials to track students based on their appearance: With one click, a guard could pull up video of everywhere else a student has been recorded on campus. The 145-camera system, which administrators said will be installed around the perimeters of the schools deemed "at highest risk," will also automatically alert a school-monitoring officer when it senses events "that seem out of the ordinary" and people "in places they are not supposed to be." The supercharged surveillance network has raised major questions for some students, parents and teachers, like Krawczyk, who voiced concerns about its accuracy, invasiveness and effectiveness. Her biggest doubt: that the technology could ever understand a school campus like a human can.

Paul Steinberg, CTO of Motorola Solutions, speaks to Sam Fenwick about his company's efforts to use AI and machine learning to bring the right data to the user in the right way Paul Steinberg presides over a huge range of research and development activities, ranging from RF engineering and wireless network architectures to drones and robotics. He also manages Motorola Solutions Venture Capital's portfolio and plays a key role in managing Motorola Solutions' intellectual property. One of the things the company is moving towards is a virtual partner – a combination of AI and natural language processing, which allows someone in the field to verbally request information and give commands without talking to a human. Part of the thinking behind this is that people speak faster than they can type, and the need for field workers to stay aware of their surroundings. "The way you and I consume [mobile data] is a slab of black glass, [but the] fundamental imperative [for a police officer, etc] is eyes-up, hands-free. That slab of black glass [is] exactly the opposite: eyes-down, hands-busy. A big part of how we're navigating this problem is around ethnographics and human factors research – living a day in the life of our users and then [working] with the technologists and designers."

Artificial intelligence is being adapted for police body cameras that can spot suspects and missing children in real time. The controversial technology is expected to roll out to police departments around the U.S. as soon as this fall, according to the Wall Street Journal. It's being developed by startups and major tech firms in the hopes of making law enforcement officials' jobs easier. But it's also being criticized by privacy advocates who say it could lead to pervasive, dangerous surveillance of innocent individuals. The new software uses an algorithm, placed in body cameras or video surveillance cameras, to notify an officer when it has identified a suspect.

Banking, insurance and financial services are driving the vibrant neural network software market along with growing uptake in the health care market, according to a new market forecast. The estimated 26 percent annual growth rate for neural network software through 2021 is also being spurred by emerging real-time AI applications in diverse market segments such as public safety. For example, partners Motorola Solutions and AI specialist Neurala said this week they are collaborating on a project to integrate Neurala's neural networking technology with Motorola software used in surveillance cameras. Meanwhile, market researcher Technavio reported last week that global demand for neural network software is being fueled by financial services, which accounts for about 45 percent of the total market. "Neural networks are mainly applicable to various data problems of the financial industry," the London-based market watcher said.