スマートシティにおけるセキュアコンピュータビジョン利用

ABI Research（ABIリサーチ）「スマートシティにおけるセキュアコンピュータビジョン利用 – Secure Computer Vision Usage in Smart Cities」はスマートシティにおけるコンピュータビジョン（CV）とビデオ管理市場を調査し、関連監視技術およびセキュリティ技術を分析・解説しています。

Actionable Benefits

• Ascertain the challenges and opportunities of Computer Vision (CV) and video management market offerings in smart cities.
• Plan your surveillance options for an on-premises deployment strategy and examine the market sizing, shipments, installed base, and security revenue for connected surveillance cameras.
• Support your customers and smart city stakeholders regarding data security and privacy options enabled through on-device AI chipsets or edge network and management platforms.

Critical Questions Answered

• What are the leading and emerging CV applications in smart city environments?
• What are the privacy and data security drivers? What are the state-of-the-art technologies addressing security challenges?
• What is the current state of the security market for surveillance cameras?
• How is the surveillance market evolving and how do we expect AI chipset-enabled cameras to perform in the coming years?

Research Highlights

• CV and video analytics in smart cities can enhance the “smart” aspect of smart cities by greatly benefiting intelligence and security operations across specific areas on a micro level, or municipalities and states on a macro scale.
• On-premises deployment options are dominating the current market landscape with optional support from cloud-based services.
• Data security and privacy have become particularly important for implementers that need to meet increasingly demanding compliance requirements.
• License Plate Recognition (LPR) is currently the main analytics offering, followed by vehicle detection, intrusion detection, and crowd monitoring, ultimately making traffic management, perimeter defense, public security, and surveillance the most popular applications.

Who Should Read This?

• Surveillance camera manufacturers.
• Video Management System (VMS) service providers.
• Artificial Intelligence (AI) and Machine Learning (ML) algorithm developers.
• Smart city stakeholders.
• Internet of Things (IoT) digital security service providers.
• Connectivity and cloud service providers.
• Governmental, regulatory, and standardization organizations.