Truth is existing home video surveillance systems with security alarms and cameras have seen tremendous changes in recent years.
These surveillance equipments are transforming into powerful devices that can automatically recognize you and your family members as residents but accurately zero in, capture and identify criminals' faces.
But do you know these changes are tips of the iceberg compare to what next generation video security camera equipment for homes will manifest?
Listed below are 5 biometric software enabled features we envisage in future home video surveillance systems.
Surveillance Cameras With 3D Facial Detection
3D facial recognition is fast emerging. 3D facial recognition uses distinctive features of the face where rigid tissue and bone is most apparent, such as the curves of the eye socket, nose and chin to identify the subject.
Personalized House Alarm Systems With Biometric Fingerprinting
Trailing the emergence of 3D face identification is the biometric fingerprinting. While this technology is as old as age, it is still one of the most effective security systems in the world.
But what you may not know is that, the future of fingerprint biometric devices is surely not only security, but personalization of those intelligent home alarm sensors and systems.
So, in the not-too-distant future, house alarms false alarm could probably be a thing of the past because your house alarm systems are loaded with personalized settings to recognize who you are.
Door Access Control Systems With Voice and Biometric Features
They’re already built into high-end phones and laptops. Professional and business people use speech software to dictate emails, letters and even automate taking minutes of meetings.
Now, imagine a smart surveillance monitoring camera that can zoom, pan and tilt when it detects an unfamiliar voice and then sends you an SMS alert notification for confirmation of the person?
See 2 other features of next generation home video surveillance systems to make your home security systems automatically capture and identify criminals.
Sidenote on Biometric Security
Biometrics as we know them can be into two categories, physiological and behavioral.
Iris, fingerprint, hand, face, voice, retina, odor, earlobe, lips are examples of the physiological.
Whereas signature, keystroke, voice and gait are examples of behavioral patterns that can be observed. Of these, so far the fingerprint reader appears to be the best value having the cheapest cost with a high degree of reliability.
Iris scanning has the highest degree of reliability but the cost and the negative feeling of having a light scan your eyes make it so far not a very accepted practice.
Some of the biometrics such as hand geometry may be perfectly suitable for small scale use in a local area but this particular type of biometric does not scale well to a larger database.