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?
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.
Table of Contents
1. EXECUTIVE SUMMARY
2. COMPUTER VISION APPLICATIONS IN SMART CITIES
3. SURVEILLANCE SYSTEMS AND TECHNOLOGIES
3.1. Video Management Systems
3.2. Video Cameras
3.3. Analytics: Edge Processing and AI Chipsets
3.5. Gateways and Routers
4. ANALYSIS OF SECURITY TECHNOLOGIES
4.1. Security Market Revenue
4.2. Privacy Masking at the Source or Video Management Server
4.3. Data Security for Computer Vision and Video Analytics