False Advertising: Hikvision USA Deep Learning
Hikvision USA is conducting a false advertising marketing campaign for their deep learning system. Hikvision USA's claim violates US FTC Truth In Advertising regulations, contradicts Hikvision's corporate's test results and raises further concerns about trusting them. We share 10 examples to prove the systematic false advertising.
False - 'Eliminate'
The false advertising is the claims to 'eliminate' false alarms or false detection. This is false for 3 reasons:
1. No deep learning or analytics system can eliminate, i.e., completely remove, false alarms nor detections.
2. Hikvision HQ themselves, in their DeepInMind brochure, only claims "90% alarm accuracy" and that their test results showed false alarms being decreased, not eliminated:
3. IPVM's testing has found DeepInMind performs very poorly, a finding confirmed by various Hikvision partners and not disputed by Hikvision itself.
Systematic False Advertising - 10 Examples
Despite this, Hikvision USA, over the past half year, has systematically conducted a false advertising campaign, deceiving buyers into believing that their DeepInMind deep learning system eliminates false alarms and detections.
(1) Product Guide
Fall 2017 / Winter 2018 official Hikvision USA product guide:
(2) ASIS
September 2017 ASIS Hikvision post:
(3) Security Sales Integration Magazine
September 2017 SSI Hikvision announcement:
(4) SDM Magazine
September 2017 SDM announcement:
(5) SecurityInfoWatch
September 2017 SIW Hikvision announcement:
(6) Twitter
Oct 6, 2017: Twitter post:
#ItsAHikvision, also #ItsABroken and #ItsAFalseAdvertising.
(7) Instagram
October 6, 2017 Instagram post [link no longer available]:
(8) Facebook
October 7, 2017 Facebook post:
(9) LinkedIn
October 2017 LinkedIn post:
(10) ADI
February 2018 ADI Flyer:
Issue of Trust
Hikvision USA, as a branch of the Chinese government-owned manufacturer Hikvision, has unparalleled resources in this industry to spread such false advertising. But this is an issue of trust, and this campaign shows how buyers must beware such deception.