UM2, thanks for pointing that out, I updated the chart to reflect the text. We reached out to Milestone to confirm the face detection events working and will get back to you when they reply.
UM2, Milestone responded with clarification on Milestone integration, I double checked all cameras and Hanwha, Hikvision, and Dahua integrated face detection events while Uniview and Vivotek did not, I updated the chart and text to reflect this.
There are these tests recently published from NIST in which only Dahua is referenced. It would be interesting to know which algroithms sets and code can be integrated onto a camera and/or VMS platform. Some interesting results in the NIST report generally as regards performance with masks (pre-COVID 19) and to look at what improvements might occur as manufacturers address this challenge and as they tackle mask detection as well. Do you know if any of these vendors (apart from Dahua) intend to participate in ongoing NIST testing?
Have you thought about getting reflectacles as opposed to sunglasses and seeing how these do when pitted against anti-surveillance techniques?
Hanwha also has face detection with the face overlay in their PVMs and TNB-6030 PVM camera. You can select the color of the overlay as well as text on screen such as "RECORDING IN PROGRESS" with the option to blink the text as well to get attention. This helps deter offenders in retail stores.
So is this similar to the LPR / LPC issue where a lot of cameras can capture a license plate but very few can recognize them? You are detecting faces in this test but what can you do with this information now? Is the idea of face detection for the use in face recognition?
Ethan, I would be interested to find out if this basic face detection can translate into a searchable criteria in the various recording scenarios that might be used whether stand-alone NVR or separate VMS/CMS. If so that's one more way to filter out spurious events when searching.
Agree
Disagree
Informative
Unhelpful
Funny
Create New Topic
Subscribe to IPVM Research to read the full report.
Why do I need to subscribe?
The IPVM Research Service includes products tests and shootouts plus competitive and financial analysis, helping decision-makers better evaluate purchasing, partnering, developing, and/or competing against companies in physical security.
Comments (15)
Undisclosed Integrator #1
Another interesting and informative test, thanks IPVM team!
Create New Topic
Undisclosed Manufacturer #2
Your chart shows a red x for Hanwha and Network Optix. I'm also really surprised it doesn't work with Milestone considering all other analytics work.
Create New Topic
Cory Knight
Is there any indication that milestone will offer these features in the future?
Create New Topic
Salvatore D'Agostino
There are these tests recently published from NIST in which only Dahua is referenced. It would be interesting to know which algroithms sets and code can be integrated onto a camera and/or VMS platform. Some interesting results in the NIST report generally as regards performance with masks (pre-COVID 19) and to look at what improvements might occur as manufacturers address this challenge and as they tackle mask detection as well. Do you know if any of these vendors (apart from Dahua) intend to participate in ongoing NIST testing?
Have you thought about getting reflectacles as opposed to sunglasses and seeing how these do when pitted against anti-surveillance techniques?
Create New Topic
Salvatore D'Agostino
Apart from the bracelet the others target image recognition... The glasses are the reflectacles I referenced.
Create New Topic
Undisclosed Manufacturer #3
Hanwha also has face detection with the face overlay in their PVMs and TNB-6030 PVM camera. You can select the color of the overlay as well as text on screen such as "RECORDING IN PROGRESS" with the option to blink the text as well to get attention. This helps deter offenders in retail stores.
Create New Topic
Undisclosed Manufacturer #4
How come that Avigilon is not a part of the test
Create New Topic
Tyler Graham
So is this similar to the LPR / LPC issue where a lot of cameras can capture a license plate but very few can recognize them? You are detecting faces in this test but what can you do with this information now? Is the idea of face detection for the use in face recognition?
Create New Topic
David Johnson
Ethan, I would be interested to find out if this basic face detection can translate into a searchable criteria in the various recording scenarios that might be used whether stand-alone NVR or separate VMS/CMS. If so that's one more way to filter out spurious events when searching.
Create New Topic