[Above] Deep Sentinel’s Winning Combination: Deep Learning Software + Live Virtual BodyGuards + Two-Way Audio Technology = Stopping Crimes Before They Happen
A Large and Growing Market
Across my own portfolio of properties, security is something I view as a necessity, and certainly an offering I want to extend to every tenant. But with a lack of practical options, finding solutions can be frustrating.
The cost of staffing properties with security guards quickly exceeds any realistic budget, and even with that investment, it’s a temporary deterrent. Integrating Deep Sentinel will allow me to offer much better answers and higher-level security in an incredibly cost-effective way.
In order to shift from ineffective, delayed crime alerts to real-time crime prediction and prevention that is taken seriously by police departments and criminals alike, Deep Sentinel leverages a sophisticated and proprietary machine learning system. The smart technology alerts live virtual bodyguards when a crime may be about to occur–with enough time to act and mobilize against the threat. With two-way audio capabilities, the commanding (and hopefully scary) voice of your own live virtual bodyguard can communicate with intruders, to
notify them that they are being recorded and that police are on their way. This is usually enough to scare them off and stop the crime from occurring. Deep Sentinel’s patented process has achieved proactive alerts that trigger within the first 20 seconds of an incident, an innovation that goes a long way toward both reduced crimes and improved peace of mind.
(Note: The FBI reports that burglary time frames are typically 90 seconds to 12 minutes.)
Why It Works
- Perpetual Adaptability: Deep learning software analyzes video data to filter out 90% of innocuous events and learn to recognize the difference between ‘normal’ and ‘suspicious’ property activity.
- Lightning Speed: AI can analyze data and recognize potential criminal activity within five seconds, notify live virtual bodyguards and provide guidance on the best course of action to mitigate or prevent the immediate threats on site. Reaction time for guards is less than 20 seconds.
- Profitable Scale: Because of the way its systems are set up, Deep Sentinel can have its virtual bodyguards protecting multiple properties, which leads to much greater efficiency, wider impact and improved cost effectiveness.
Disrupting Property Security
Deep Sentinel is a perfect example of the value-add phenomenon. AI-enabled video analysis is not replacing the work of a live guard; it is streamlining their focus and efforts, expanding their field of perception, and increasing their capacity to do their job successfully. Supported in this way, Deep Sentinel’s live virtual bodyguards can watch over more properties more effectively and with better cost efficiencies.
Successful Serial Entrepreneur and Deep Learning Genius At The Helm
Founder David Selinger (Selly) is a passionate, serial entrepreneur and has been working with AI throughout his entire career. He cut his teeth as an early employee of Amazon in software management, working on the customer behavior research that powered its now-famous product recommendation system.
He was instrumental in the founding and development of Redfin, the first map-based real estate search site, and he was founder/CEO of RichRelevance, a leading software platform for e-commerce retailers that highlights the most relevant products and content for visitors, creating greater customer experience personalization and ultimately improving revenue for those retailers.
He’s now turning his superior deep learning skills to the problem of home security and innovating just as he’s done with his other endeavors.