This directory provides a list of video surveillance startups to help you see and research what companies are new or not yet broadly known.
2020 State of Video Surveillance Startups
In the past year, the number and funding of video surveillance startups has increased significantly. While the 2010s was mostly a lost decade for new entrants, the next decade is shaping up to have many major new players emerge.
Inside this directory, we cover:
We provide profiles of each of these companies across:
VMS / VSaaS
Cyber Security / Networking
Analytics / Deep Learning AI
DIY / Residential
Drone / Robotics
Note: if a startup is not covered that you believe should be, just email us at email@example.com or leave a comment at the end of this report.
This list gives me anxiety as someone who was burned by early IP surveillance software/cameras (see: Pixord, D3Data, JDS, and early Axis cameras). If anyone is able to pick the proper product and/or investments out of this list there are massive rewards available for those who are prescient enough. I will stay in my "safe space" for now.
Hello, could you kindly include our start-up to the list? 3dEYE is already on the VSAAS providers list, and we think we should be included here as well. Here is a bio if you need one:
3dEYE Inc. is a company that provides cloud video surveillance services for security system integrators. Founded in 2013, the company headquarters are in Toronto, Canada.
As of 2019 3dEYE Inc. serves about 200 system integrators with 25 million users, processing about 170 million video events daily (50 petabytes per month) (https://www.3deye.me/). The company is a technology partner of Uniview (http://www.uniview.com/About_Us/Partner/), Nvidia, Amazon Web Services (https://aws.amazon.com/ru/canada/customer-success-stories/) and Intel. Notable clients include G4S, McDonalds, Fiera Foods Company, Porto Seguro, among others.
In 2018, 3dEYE Inc. provided software for a successful satellite IP camera project, which was conducted and funded by the US Department of Transportation, the Ministry of Transportation of Canada, and the Netherlands Infrastructure Ministry.
And for more info, you can request our sales deck.
It's no longer about having an obvious company name, it's about getting a decent domain name, which is much, much more difficult as it has to be unique globally from day one unlike a company name. for brand recognition, you name your company after the best domain name you can get, shorter is better and it has to be .com so it's not poor, desperate start-ups, its' the way the world works now.
Thanks for putting us (Camect) in the directory. When you say
"Claims to support cloud backup to Dropbox and Google Drive."
did you mean to sound skeptical? We support both of them, as well as storing to a private Youtube channel.
Our NVR product is targeted at end users and possibly also DIY small businesses - people who have no choice but to go with a cloud-based product lke Nest/Arlo/Ring today for ease of use. That's why we're doing integrations with other products that end users are likely to have (e.g. We'll do Google Home and Alexa too.)
That's also why we recommend low cost cameras that an average consumer would be interested in, especially if they're trying to save money vs Nest/Ring/Arlo but get a decent experience with a camera that's optically comparable. Our NVR will work with any camera that supports Onvif, but we haven't tested much of the expensive stuff as it's not going to be of interest to most consumers.
Regarding support for Dropbox and Google Drive, it is not a common video surveillance integration, and we have not tested Camect, so I used more skeptical wording than I would for a more common integration. Thank you for your input and explanation, I updated the wording.
I see you have the Defendry logo in the image at the top, but I don't see an entry for it on your list.
You mention Deep Science, but as you'll notice in Dr. Sean Huver's comment above, Defendry acquired his company Deep Science in March this year, and he is now the Chief Science Officer at Defendry...which is a startup in this category as well. Let me know if we can answer any questions for you. Thanks,
Thanks IPVM for the opportunity to comment and share my direct firsthand experiences as relates your Ironyun profile in the recent new technologies article.
As an independent rep for Ironyun since late 2016, I would like to clarify couple of items from the article on IronYun to contribute to the knowledge base of your interested readers.
IronYun is a best-of-breed AI deep learning platform in used by Fortune 100 companies, cities, and government agencies.
I personally feel it is best of breed at this point in time. We wouldn't be winning consistent shoot outs in the real world for if it were anything less. These are typically 60 to 90+ day POC tests in multiple circumstances and using multiple AI models. I state this with over 30 years experience in either launching or representing video manufacturers like Avigilon, Nicevision, Genetec (GE), Video Insight/Panasonic, Pelco and more.
The company’s AI deep learning software analytics has won many competitive shootouts with top name brand competition globally for perimeter intrusion, face match or face recognition with and without a database, 3rd generation weapons detection alerts which was developed for a US Government entity, plus people and vehicle counting/classification, GDPR Redaction, and fast "Google like" video search for forensic applications.
The CityEyes product that was mentioned in the article is no longer sold by the company. They decided to not compete in the VMS space but rather team with any of them. The platform is used to this day going on five years in Taiwan with over 50,000 cameras and growing.
All the company’s AI deep learning engines are in its 3rd or 4th generation release. As such, it has many industry leading performance and features that keep getting enhanced and enriched with customer input.
I would also like to correct an error in the article. IronYun AI NVR has integration with a dozen VMS platforms, including Milestone, Exact vision, , Genetec, Network Optix, etc. It is not a VMS and it can work with any VMS willing to team up for integration. This allows alerts to pop up within the same live or forensic single client as the VMS.
The AI NVR appliance is a true plug-and-play, easy-to-use, high performance AI video analytics platform that is a great add-on to any existing security video infrastructure.
We have deployed the perimeter intrusion detection system where the false positive alerts are reduced by over 90% compared to legacy systems. In some situations using excellent low light cameras or even thermal cameras, performance is 99% accuracy. Many AI marketeers don't even venture to state false positive percent ranges due to the large variables at any test site. For example a 60% false positive rate would be worthless.
The platform releases updates from customer requests every few months. I have never seen such a responsive R&D group ever... in 35 years of representing in the industry, including the top companies in the business.
Sure Igor. What I meant is it does not require any training for the alert AI model to activate as some other analytics do with learning from repetitive test alerts. There are some sensitivity adjustments that can be made. With Ironyun perimeter intrusion for example, there is no training the analytic requires at installation. Therefore installer training and overall installation time is quicker and time is money right? Thanks very much.