AI and Video Analytics Reshape Access Control Tech, Privacy Concerns Arise

New, advanced tech is accelerating growth in the video device market, especially in access control for residential, SMBs, and commercial/enterprise businesses. Customer demand for features such as keyless entry reduced false alarms, and smarter alerts such as package theft detection is driving manufacturers and OEMS to embed artificial intelligence (AI) and video analytics into products. Residential front door or entryway applications, including video doorbells, smart video door locks, and smart garage doors, are leading other sectors in smart camera adoption.

AI, including face recognition, can enhance the value propositions and be a key differentiator for smart home providers but raises concerns over privacy and data security.

86% of consumers reported at least one AI feature? as important to their purchase decision, but 26% said that data concerns could be an impediment to their adoption.

Consumers are concerned not only about unauthorized access by hackers and bad actors, but many are concerned about how the product and service companies are storing and using their data.

Only 37% of consumers trust the companies that have access to their personal data.

AI and Face Recognition Grows Across the Connected Home

Players across the connected home ecosystem are increasingly implementing AI in video devices. In security monitoring, AI helps users reduce notification fatigue by decreasing useless alerts, while also enabling a personalized experience.

• Determining friend from foe: AI can determine who is on camera at the user's property and notify the user if a package is being delivered or stolen. AI can even predict a break-in.
• Assessing threats: smoke alarms with AI identify the actual cause of the smoke and assess the threat level.
• Granting access: smart door locks or smart video door locks can use AI by reading biometric data (face recognition, fingerprints, etc.) to allow temporary access to guests or delivery services.

Face recognition is a type of AI technology that is used to identify or verify a person from a digital image or a video frame. It works by analyzing and comparing patterns in a person's facial features, such as the distance between the eyes, nose, and mouth, to a database of known faces.

Security and Safety Devices in the Home

Consumers are embracing smart home devices - 41% of US internet households report owning at least one and 28% own three or more.

Currently, indoor/outdoor smart cameras and floodlights are a popular security solution for consumers. In US internet households, 17% own a video doorbell and an equal percentage own a networked camera. Announcements this year point to device makers continuing to improve existing features while also expanding their solutions to serve SMB, multifamily housing, and commercial markets. Parks Associates forecast ownership in video doorbells and smart cameras will grow to more than 25% of US internet households for each category by 2027.

Read more from our complimentary white paper, “Face Recognition and the Smart Home: Applications, Demand, and Innovation,” in collaboration with Xailient Inc. This white paper addresses the role of face recognition technology for security and personalization, how AI and face recognition can enhance convenience and peace of mind for consumers, and how advanced tech solutions on the edge can reduce vulnerabilities and allay the privacy and security concerns surrounding these solutions within the connected home. Security and privacy concerns impact brand loyalty and trust, a critical factor for the growth of any product.

Read now: https://tinyurl.com/mrac3r9z

Parks Associates ?helps companies navigate the changing consumer technology landscapes through data-driven market insights, extensive consumer and industry intelligence, and trailblazing conferences. Explore our industry research: https://tinyurl.com/4e23tnvv