AI Camera Systems are Revolutionizing Public Safety

Published on June 10, 2021

Development of AI Camera Solutions

According to Carnegie’s AI Global Surveillance Index, 75 out of 176 countries are actively investing in AI cameras worldwide. China is one of the biggest players, deploying AI camera systems domestically and to at least 60 countries.

However, as American and allied governments have banned Chinese cameras over cybersecurity concerns, American companies are developing AI camera solutions for public safety, smart cities, transportation, and more. AI camera solutions are being applied to a variety of bodycams, dashcams, drones, security, and thermal cameras.

Ai CameraSource: Image by This is Engineering on Unsplash

Ahead of the AI Camera Curve

Camera security is at a tipping point due to developments in cognitive software. Artificial intelligence is transforming CCTV (Closed-Circuit Television), taking cameras from passive to active.

As each camera use case requires unique AI models and programming, software-defined cameras have the ability to enable customers to download AI models and run them on cameras found in applications on a phone.

Flexible Deployment and Integration

Given the current pandemic, companies can apply its AI cameras to temperature screening. Early on, many facility operators measured customer temperatures with legacy temperature guns. However, legacy temperature guns are unreliably susceptible to ambient conditions. Utilizing a precision-based approach, thermal and optical sensor fusion can be applied to produce trusted measurements and decisions.

Furthermore, optical sensors within AI cameras can detect telltale signs of infection, such as coughing and sneezing. Additional features can also be utilized to mitigate transmission by enforcing mask and safe social distancing policies, while also enabling contact tracing.

AI Camera Systems for Smart Cities

AI cameras are also being deployed for uses beyond public safety, including smart cities and transportation.

ABI Research’s analysis report, Deep Learning-Based Machine Vision in Smart Cities, revealed that the installed base of smart cameras with an AI chipset will grow to more than 350 million in 2025. More than 65% of cameras shipped in 2025 are expected to come with at least one AI chipset.

In addition, utilizing AI cameras for bodycams, drone cameras, and security cameras assists smart city use cases including incident management, smart parking, and traffic monitoring.

AI CameraSource: Image by Maxim Hopman on Unsplash

Utilizing AI Cameras in Transportation

The benefits of driver assistance systems (such as Tesla Autopilot) are well documented. However, one drawback is the growing problem of driver complacency and distraction. Senators Ed Markey, Richard Blumenthal, and Amy Klobuchar recently introduced the Stay Aware for Everyone (SAFE) Act of 2021 to combat the problem of driver complacency and distraction.

The SAFE Act will direct the Department of Transportation to standardize and require carmakers to install driver-monitoring systems. With the integration of AI and dashcams individuals can detect and prevent distracted and unsafe behaviors, such as texting while driving. Companies developing solutions for camera networks such as Samsara and Smarter AI, where I am the founder, have already applied AI to dashcam systems to enable extensive safety features. 

AI cameras are integral to the future of public safety, smart cities, transportation, and much more.

Chris Piche is a contributor to Grit Daily News and a Canadian computer scientist and technology entrepreneur. Piche is an expert in computer vision, P2P, and scalable video technologies, having created services including AT&T TV, BBM Video, Poly Video, and STUN/TURN/ICE. Piche has been awarded Best of Internet World, Canada’s Top Young Leader, and Top 40 under 40.

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