Edge devices will soon be able to collaborate and combine their compute resources in ways similar to racks of servers in the cloud today. Video surveillance cameras with powerful processors will be able to do more edge processing of video data than ever before. More Video Surveillance Power Comes to the EdgeĢ024 will see even more power come to the edge. By focusing on retrofitting, upgrading, and integrating existing equipment with new technology in a phased approach, companies can maximize the life of existing equipment while also adding new capabilities such as bringing AI to non-AI devices. i-PRO advises seeking out vendors and manufacturers with open platforms that collaborate freely with multiple third-party manufacturers.Įquipment should be designed to take advantage of evolutions in AI and analytics without forklift upgrades. Organizations will be under increased pressure in 2024 to invest in solutions that don’t become obsolete a short time after they are installed, or that limit them through closed platforms. Fast-Changing Tech Demands Scalable, Flexible, Future-Proof Investments This new stream of business intelligence data, harvested directly utilizing edge processing within security cameras, will enable more automated workflows while increasing operational efficiency and enhancing service quality.ĪI-based systems will soon be able to detect when people need assistance or notify when a floor is wet to prevent people from slipping for example. On-site AI training of edge devices can further enhance accuracy by recognizing logos on vehicles or uniforms, counting planes, forklifts, baby strollers, etc. Today, technology enables integrators and end-users to train a camera’s AI analytic on-site to recognize unique objects that are important for a business to track or count. While AI-based security cameras have been able to significantly reduce errors by reliably detecting humans and vehicles for some time, the next phase of AI will be irresistible to data hungry businesses. Here’s a closer look at each of them and why they could become transformative in the next 12 months: Customizable AI On-Site Learning Ushers in the Next Level of AI AdoptionĢ024 will see further increases in AI adoption in the physical security market. (formerly Panasonic security) has shared its top four predictions for the physical security industry in 2024. I have already deleted all Topaz apps from the laptop and the second this happens on my main PC, will do the same.TOKYO, Japan – Video surveillance and public safety professional security solutions provider i-PRO Co., Ltd. Lightroom’s new Denoise is comparable to Denoise AI so I will be going down this path. I stress that this was a Windows only update, not Topaz software so is this a push towards Photo AI?ĭespite the updates to Photo AI, in my experience the noise reduction is inferior to Denoise AI, which is why I continued with it. Interestingly, Photo AI continues to work and only the other apps fail. There is no error log.Ĭomplete removal of Topaz apps including registry entries has no effect. The loading window appears briefly and disappears. After the update, Denoise, Sharpen and Gigapixel do not load. I DID NOT update Topaz products as they already were the latest versions. With an upcoming trip, I updated the laptop’s Windows, Photoshop and Lightroom. I use Topaz apps on two devices, a desktop PC for the majority of the work and a laptop when I travel. Apparently there is no longer a category for Denoise or Sharpen.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |