{"id":334945,"date":"2025-11-07T13:30:30","date_gmt":"2025-11-07T18:30:30","guid":{"rendered":"https:\/\/www.reviews.com\/?p=334945"},"modified":"2025-11-07T13:30:30","modified_gmt":"2025-11-07T18:30:30","slug":"facial-recognition-cameras","status":"publish","type":"post","link":"https:\/\/www.reviews.com\/home\/security-systems\/facial-recognition-cameras\/","title":{"rendered":"What You Need to Know About Facial Recognition Home Security Cameras"},"content":{"rendered":"\n<p>Convenience or privacy? Today\u2019s technology frequently asks users to take their pick. Smart home security brings this uncomfortable choice home. In 2025, a clear trend is toward on-device or on-hub processing to minimize data exposure, while new rules tighten how biometric data can be used. In the EU, the <a href=\"https:\/\/artificial-intelligence.europa.eu\">AI Act<\/a> begins phasing in obligations that affect biometric features, reinforcing transparency, risk management, and limits on certain high\u2011risk uses. These shifts matter because smart devices must still collect and communicate data to deliver value, and features that make things seamless (automatic syncing, cloud backups, cross-device automations) can raise risk without strong security, governance, and user controls.<\/p>\n\n\n\n<p>Facial recognition takes the privacy and security concerns of smart home systems to the next level. When cameras store biometric templates that link faces to names, the sensitivity of the data rises. Independent evaluations show top algorithms are highly accurate on high\u2011quality captures: in NIST\u2019s ongoing 1:1 tests, leading systems report false non\u2011match rates well under 1% at low false\u2011match operating points on visa\/mugshot\u2011style images, with strong 1:N identification at low false alarm rates (<a href=\"https:\/\/pages.nist.gov\/frvt\/html\/frvt11.html\">NIST FRVT 1:1<\/a>; <a href=\"https:\/\/pages.nist.gov\/frvt\/html\/frvt1N.html\">FRVT 1:N<\/a>). But performance still depends on image quality, pose, occlusion, and deployment specifics, and demographic differentials\u2014reduced but not eliminated\u2014require governance and testing (see the <a href=\"https:\/\/www.dhs.gov\/science-and-technology\/biometric-technology-rally\">DHS Biometric Technology Rally<\/a>).<\/p>\n\n\n  <style>\n    .myFinance-widget {\n    min-height: 670px;\n    }\n  <\/style>\n  <div class=\"myFinance-widget\" data-widget-id=\"7c9fe833-dde7-4eb5-b71f-d741b8cccd66\" data-campaign=\"reviews-non-monitored-security\"><\/div>\n\n<script async=\"\" type=\"text\/javascript\" id=\"myFinance-widget-script\">\n  !function () {function e() {var s = \"myFinance-widget-ad-script\";if (!document.getElementById(s)) {var e = document.createElement(\"script\"), n = document.getElementById(\"myFinance-widget-script\"), a = t + \"widget\/myFinance.js\";e.id = s, e.type = \"text\/javascript\", e.async = !0, e.src = a, n.parentNode.insertBefore(e, n);}var c = \"myFinance-widget-css\";if (!document.getElementById(c)) {var d = document.getElementsByTagName(\"head\")[0], i = document.createElement(\"link\");i.id = c, i.rel = \"stylesheet\", i.type = \"text\/css\", i.href = t + \"widget\/myFinance.css\", i.media = \"all\", d.appendChild(i)}}var t = \"https:\/\/static.myfinance.com\/\";document.attachEvent ? document.attachEvent(\"onreadystatechange\", function () {\"complete\" === document.readyState && e()}) : document.addEventListener(\"DOMContentLoaded\", e, !1)}();\n<\/script>\n\n\n<h2 class=\"wp-block-heading\">Facial recognition \u2014 what it is and how it\u2019s used<\/h2>\n\n\n\n<p>New technology is frequently expensive, imperfect, and controversial. Facial recognition hits all three. But the technology has big potential in an enormous range of fields \u2014 in&nbsp;<a href=\"https:\/\/www.cnet.com\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">airports<\/a>, in border programs such as <a href=\"https:\/\/www.cbp.gov\/travel\/biometrics\">CBP\u2019s facial biometrics<\/a>, and across passenger touchpoints tracked by <a href=\"https:\/\/www.sita.aero\">SITA<\/a>. In homes, recognition features label \u201cfamiliar faces,\u201d personalize notifications, and, in some products, control access.<\/p>\n\n\n\n<p>Facial analysis algorithms enable security cameras to learn your household\u2019s regular faces. On major consumer platforms, recognition primarily personalizes notifications and announcements \u2014 see Apple\u2019s <a href=\"https:\/\/support.apple.com\/en-us\/HT210538\">Recognize Faces<\/a> and Google\u2019s <a href=\"https:\/\/support.google.com\">Familiar face detection<\/a> \u2014 while some access devices use on-device recognition to unlock for enrolled users. This can streamline control (e.g., announcing who is at the door) and enrich alerts without exposing named identity broadly to automations.<\/p>\n\n\n\n<p>Set-up typically requires introducing the camera to the faces you want it to remember by enrolling photos or letting the camera capture them over time. Because faces are three-dimensional and change with lighting and angle, systems learn from multiple views. Reliability hinges on capture quality and liveness safeguards; independent programs now evaluate presentation attack detection (PAD) and morphing resistance alongside accuracy (<a href=\"https:\/\/www.nist.gov\">NIST FRVT program<\/a>).<\/p>\n\n\n\n<p>Analytics can occur inside the camera or on a home hub, which can be a boon for privacy. For example, Apple\u2019s HomeKit Secure Video analyzes footage on a home hub with end\u2011to\u2011end encrypted storage (<a href=\"https:\/\/support.apple.com\/guide\/security\/homekit-secure-video-sec3ec08f85b\/web\">details<\/a>). Other ecosystems may use a hybrid edge\u2011cloud approach for indexing or search; some enterprise platforms (e.g., <a href=\"https:\/\/help.verkada.com\">face search<\/a>) use cloud-based matching. Consumer systems generally avoid external database matching, and in many regions watchlist\u2011style uses are restricted by law.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Facial recognition makes the smart home smarter<\/h2>\n\n\n\n<p>A security system that remembers faces can improve ease of use and routine control. Smart displays and speakers can announce who\u2019s at the door; routines can run when a person is detected via camera events (<a href=\"https:\/\/developers.home.google.com\">Google Home automations<\/a>). For safety and privacy, major platforms typically do not expose fully hands\u2011off per\u2011person actions from camera recognition (like auto\u2011unlock); by contrast, some door locks embed on-device facial recognition to unlock locally for enrolled users (for example, <a href=\"https:\/\/us.eufy.com\">eufy Video Smart Lock E340<\/a>).<\/p>\n\n\n\n<p>Facial recognition also adds more actionable information to system alerts. Rather than reporting an anonymous person visited your front door at 2:33 pm, a facial recognition camera can label a known person. Independent testing indicates leading algorithms perform strongly on high\u2011quality captures, with top 1:1 systems reporting sub\u20111% miss rates at low false\u2011match settings on controlled images and high rank\u20111 identification at low false alarms (<a href=\"https:\/\/pages.nist.gov\/frvt\/html\/frvt11.html\">NIST FRVT 1:1<\/a>; <a href=\"https:\/\/pages.nist.gov\/frvt\/html\/frvt1N.html\">1:N<\/a>). Reliability still depends on lighting, camera angle, occlusions (e.g., masks, sunglasses), and liveness checks.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Few smart cameras offer facial recognition<\/h2>\n\n\n\n<p>Facial recognition is still a gated feature in consumer cameras. Google Nest supports \u201cFamiliar face detection\u201d with a Nest Aware subscription (<a href=\"https:\/\/support.google.com\">details<\/a>), and Apple\u2019s HomeKit Secure Video can recognize faces on a local Home hub (<a href=\"https:\/\/support.apple.com\/en-us\/HT210538\">setup<\/a>). Some brands explicitly avoid facial recognition in consumer products. In contrast, enterprise vendors widely offer face recognition for access\/security: OEMs such as <a href=\"https:\/\/www.hikvision.com\">Hikvision<\/a> and <a href=\"https:\/\/www.dahuasecurity.com\">Dahua<\/a> sell access terminals, and cloud\u2011managed platforms like <a href=\"https:\/\/help.verkada.com\">Verkada<\/a> provide face search across camera fleets. Processing locations vary by product (on-device vs cloud), and some features are region\u2011 or subscription\u2011limited.<\/p>\n\n\n\n<p>Notably, Ring Alarm, the security company bought by Amazon in 2016 and associated with aggressive innovation, does not yet include facial recognition in its smart cameras.<\/p>\n\n\n\n<p>For better or worse, Amazon sees just such a future: An&nbsp;<a href=\"https:\/\/www.aclu.org\/blog\/privacy-technology\/surveillance-technologies\/amazons-disturbing-plan-add-face-surveillance-your?redirect=blog\/privacy-technology\/surveillance-technologies\/amazons-disturbing-plan-add-face-surveillance-yo-0\" target=\"_blank\" rel=\"noreferrer noopener\">Amazon patent<\/a>&nbsp;describes pairing Ring doorbells with Rekognition technology. Such an upgrade would effectively link citizen cameras to police databases. However, as of 2025 there is no evidence of consumer deployment of this pairing, and Ring states it does not use facial recognition technology in its devices or services (<a href=\"https:\/\/support.ring.com\/hc\/en-us\/articles\/360031563531-Does-Ring-use-facial-recognition-technology\">Ring support<\/a>). In the EU, the <a href=\"https:\/\/artificial-intelligence.europa.eu\">AI Act<\/a> restricts certain real\u2011time remote biometric identification in public spaces, further constraining such linkages.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Facial recognition has drawbacks<\/h2>\n\n\n\n<p>Ring cameras do not yet have facial recognition, but the&nbsp;<a href=\"https:\/\/www.reviews.com\/home\/security-systems\/rings-reimagines-neighborhood-watch\/\">bad press<\/a>&nbsp;the company has weathered in the past year illustrates the technology\u2019s theoretical negatives: big-brother surveillance, loss of privacy, hacking, and racial profiling. Independent testing shows performance can vary across demographics (<a href=\"https:\/\/pages.nist.gov\/frvt\/\">NIST FRVT<\/a>), and end\u2011to\u2011end evaluations highlight the role of capture conditions (<a href=\"https:\/\/www.dhs.gov\/science-and-technology\/biometric-technology-rally\">DHS Biometric Technology Rally<\/a>). Regulators have acted when deployments caused harms (see the <a href=\"https:\/\/www.ftc.gov\">FTC\u2019s action against a retailer<\/a>). Cameras can struggle with&nbsp;<a href=\"https:\/\/www.vice.com\/en_us\/article\/qvg48d\/everything-you-need-to-know-about-ring-amazons-surveillance-camera-company\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">recognizing dark-skinned individuals<\/a>, and errors can have real impacts if footage is used for identification.<\/p>\n\n\n\n<p>Privacy and bias in technology \u2014 those are two reasons to forego facial recognition. The relative greenness of facial recognition is another. Systems must be validated against spoofing (printed photos, replays, masks) and morphing threats; independent benchmarks now assess presentation attack and morph detection alongside accuracy (<a href=\"https:\/\/www.nist.gov\">NIST FRVT<\/a>). Security posture matters: recent threat reports document cloud account takeovers due to weak identity controls, underscoring the value of phishing\u2011resistant MFA and least\u2011privilege access if any video or face data leaves the device (<a href=\"https:\/\/www.enisa.europa.eu\/publications\/enisa-threat-landscape-2024\">ENISA Threat Landscape 2024<\/a>). Low-quality images, shadows, or sunglasses can still throw off recognition; quality\u2011aware policies (e.g., re\u2011capture or human review) help mitigate errors.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What to look for in facial recognition security cameras<\/h2>\n\n\n\n<p>Facial recognition, while much improved, must be matched to your risk and context. Favor products that publish independent performance evidence (e.g., participation and results in <a href=\"https:\/\/pages.nist.gov\/frvt\/html\/frvt11.html\">NIST FRVT 1:1<\/a>\/<a href=\"https:\/\/pages.nist.gov\/frvt\/html\/frvt1N.html\">1:N<\/a>) and disclose PAD\/MORPH safeguards (<a href=\"https:\/\/www.nist.gov\">FRVT program<\/a>). In the EU, map uses against the <a href=\"https:\/\/artificial-intelligence.europa.eu\">AI Act<\/a> (e.g., transparency and risk\u2011management duties; restrictions on certain public\u2011space identification). Accuracy depends on your capture conditions: verify performance in your lighting, angles, and distances, and prefer systems that keep processing on\u2011device or on a local hub with end\u2011to\u2011end encrypted storage where possible (<a href=\"https:\/\/support.apple.com\/guide\/security\/homekit-secure-video-sec3ec08f85b\/web\">Apple HSV<\/a>).<\/p>\n\n\n\n<p>If you\u2019re ready to add facial recognition to your home security system, shop and install with security and privacy in mind. Only purchase smart home devices that have strong protection protocols in place. At minimum, that means&nbsp;<a href=\"https:\/\/www.reviews.com\/home\/security-systems\/two-factor-authentication\/\">two-factor authentication<\/a>&nbsp;and regular security updates. Prefer products that: process recognition locally or on a home hub; require explicit opt\u2011in; provide clear retention limits and one\u2011tap deletion of face data; document independent testing (<a href=\"https:\/\/pages.nist.gov\/frvt\/html\/frvt11.html\">NIST FRVT<\/a>; <a href=\"https:\/\/www.dhs.gov\/science-and-technology\/biometric-technology-rally\">DHS Rally<\/a>); and publish policies on law\u2011enforcement requests. Try to position your device so it records those on your property \u2014 not every passerby \u2014 and consider posting a sign to notify visitors of surveillance. If you operate in the EU, ensure your use aligns with the <a href=\"https:\/\/artificial-intelligence.europa.eu\">EU AI Act<\/a>; in the U.S., be aware of state biometric laws such as Illinois BIPA, Texas CUBI, and Washington\u2019s statute, and follow the FTC\u2019s biometric guidance on testing, monitoring, and data governance (<a href=\"https:\/\/www.ftc.gov\/policy\/advocacy-research\/tech-at-ftc\/biometric-information-policy-statement\">FTC policy<\/a>).<\/p>\n\n\n  <style>\n    .myFinance-widget {\n    min-height: 670px;\n    }\n  <\/style>\n  <div class=\"myFinance-widget\" data-widget-id=\"7c9fe833-dde7-4eb5-b71f-d741b8cccd66\" data-campaign=\"reviews-non-monitored-security\"><\/div>\n\n<script async=\"\" type=\"text\/javascript\" id=\"myFinance-widget-script\">\n  !function () {function e() {var s = \"myFinance-widget-ad-script\";if (!document.getElementById(s)) {var e = document.createElement(\"script\"), n = document.getElementById(\"myFinance-widget-script\"), a = t + \"widget\/myFinance.js\";e.id = s, e.type = \"text\/javascript\", e.async = !0, e.src = a, n.parentNode.insertBefore(e, n);}var c = \"myFinance-widget-css\";if (!document.getElementById(c)) {var d = document.getElementsByTagName(\"head\")[0], i = document.createElement(\"link\");i.id = c, i.rel = \"stylesheet\", i.type = \"text\/css\", i.href = t + \"widget\/myFinance.css\", i.media = \"all\", d.appendChild(i)}}var t = \"https:\/\/static.myfinance.com\/\";document.attachEvent ? document.attachEvent(\"onreadystatechange\", function () {\"complete\" === document.readyState && e()}) : document.addEventListener(\"DOMContentLoaded\", e, !1)}();\n<\/script>\n","protected":false},"excerpt":{"rendered":"<p>Convenience or privacy? Today\u2019s technology frequently asks users to take their pick. Smart home security brings this uncomfortable choice home. In 2025, a clear trend is toward on-device or on-hub processing to minimize data exposure, while new rules tighten how biometric data can be used. In the EU, the AI Act begins phasing in obligations [&hellip;]<\/p>\n","protected":false},"author":345,"featured_media":334947,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1286],"tags":[],"post_author":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What You Need to Know About Facial Recognition Home Security Cameras | Reviews.com<\/title>\n<meta name=\"description\" content=\"Convenience or privacy? Today\u2019s technology frequently asks users to take their pick. 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