As digital content increases as a result of body-worn cameras & in-car videos, the ability to automate time consuming manual processes for video redaction enables agencies to streamline file editing tasks and respond quickly to Freedom of Information Act (FOIA) requests.
Two options – One solution. Whether you select the SaaS model hosted on Microsoft’s Azure platform, or the on-premise model installed locally, IDguard provides the same benefits. Combining Panasonic's artificial intelligence and machine learning technology, IDguard redacts, or masks the information deemed as confidential. Removing the human interaction out of the redaction process not only saves time but increases accuracy.
The Microsoft Azure integrated cloud approach creates an unmatched platform for digital transformation and, with Azure being one of the fastest growing cloud platforms, users are investing in state of the art technology. Microsoft is going to make sure the technology is meeting your needs today but also tomorrow. The cloud is moving fast – every week a new technology is coming out. So it’s about meeting new capabilities now and investing in those on the horizon.
Technology is sitting in the public cloud, sitting in the datacenter – and all running in a holistic way, in a seamless environment. That seamless environment is essential – otherwise running that way is going to be expensive and hard and insecure.
Nothing is more important than trust, particularly when you’re talking about the cloud. It’s about security – Microsoft spends $1B a year on cyber security with 3500 cyber security engineers who are constantly monitoring your data for threats. Then there’s compliance. Investing ahead of the curve, Microsoft is able to have earned compliance certifications around the world.
Redacting is one piece of the entire process. IDguard not only performs the redaction process in a timely and accurate manner with Panasonic's artificial intelligence and machine learning, but also reduces the manual processes of uploading, storing, searching, editing and sharing content, to save time and money.
Accuracy is key, but so is speed. Not just speed of the redaction process itself, but speed of delivering the outcome. Because the redaction process runs efficiently, it means the final redacted output can be provided expeditiously.
IDguard’s comprehensive suite of administrative tools provide strict, secure, multi-user management with critical editing capabilities.
*Productivity gain results are based on internal Panasonic testing and pertain only to video use case. Your results may vary based on user variables. IDguard application video processing time and resulting redaction capability is dependent on the number of faces within the video, clarity of facial image, system hardware configuration and user interaction.
Starting in the 1960s as a slow-moving, manual technique for measuring faces against photographs, facial detection technology is now so sophisticated that it can collect thousands of data points in real-time, at scale. That evolution allows consumers to do everything from access devices more easily to breeze through lines at the DMV. But accessibility and scope have also brought new challenges for privacy. Eric Symon, the director of the Enterprise Process Innovation Center (EPIC) at Panasonic, joins host Barry Ross on The Big REthink Podcast to discuss IDguard, the intricacies of facial detection technology and how AI can improve video analysis.