The age of artificial intelligence surveillance is here
Long possible in Hollywood thrillers, the tools for identifying who someone is and what they're doing across video and images are taking shape. Artificial intelligence researchers struggled for years to build algorithms that could look at an image and tell what it depicts. The complexity of images, each containing millions of pixels that form unique patterns, was just too complicated for hand-coded algorithms to reliably work. If a deep neural network, as the system was called, was given enough examples it could suss out shared patterns between images, like the shape and textures common between cats. Given a large dataset of images or video, these systems can be trained to learn what a person's face looks like, and reliably identify it again and again. The dataset contains nearly 5 million images of 672,000 people, sourced from Flickr's creative commons. When tested on matching two images of the same person in a separate dataset of 1 million face images, top-ranking teams touched 75% accuracy when given one chance to guess, and more than 90% accuracy when allowed to give 10 options. Video, which uses similar techniques to still images but requires higher processing power, also allows AI to understand what's happening over time. Facial recognition in still images and video is already seeping into the real world. Last week the New York department of motor vehicles announced that it had made more than 4,000 arrests using facial recognition technology.
Axon, a company once known as Taser and the largest distributor of police body cameras in the US, has recently ramped up ambitions to infuse artificial intelligence into its products, acquiring two AI companies earlier this year. Early research has identified ways to trick facial recognition software, either by specially-made glasses to fool the algorithms or face paint that throws off the AI. But these often require knowledge of how the facial recognition algorithm works.
Surveilance and Security
TACTICAL. Different parts of the security industry have differing requirements, one can distinguish between two types of approach: monitoring Lines and monitoring Sites. In Line monitoring, fixed-wing UAVs are used to perform high-level highway, coastal and border surveillance. UAVs in perimeter security do not only reduce the requirement for foot patrols by security guards, but also provide an additional oversight in instances where security guards are deployed to ensure their adherence to patrolling routines. The speed, size, maneuverability and additional technologies make UAVs the perfect supplement to ground security teams seeking to perform monitoring tasks more quickly and efficiently. This allows security forces to identify hazardous areas, potential assault locations and timings and evaluate piracy trends around the world. Super Yacht Security: UAVs are involved in protection services for super yachts which has helped crews to stay safe, reduced delays and minimized cost overruns. EVENT SECURITY. UAVs are instrumental in managing the critical facets of security & safety at major events, from event security infrastructure, through to spectator and crowd control and safety to overall health and safety planning. This includes the completion of initial security risk assessments to developing bespoke security infrastructure solutions.
Areas covered include general security, such as vehicular access, landscapes, fire evacuation procedure and adaptation of the original building design. In addition to monitoring and rapid reaction, UAVs can provide detailed visual documentation of sites, enabling effective analysis, risk management and security planning. Abu Dhabi's security company, uses UAVs to supplement its security system, especially around ports. Many traffic monitoring organizations use helicopters to achieve aerial views, or use cameras fixed above the roads.
Gredenza International Security & Surveillance Services LLC
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Gredenza International Security & Surveillance Services LLC is an approved implementation partner for the SecurePath remote monitoring project as per which installation of DPS approved GPS vehicle tracking device is mandatory in a rented car. We have integrated a host of useful and innovative technologies including RFID based passenger identification systems for passenger attendance, digital or analog fuel level sensors for fuel consumption analysis, site activity monitoring, CANBUS and OBD-II data retrieval and much more to make Fleet Management meaningful and easy to use.
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