Video analytics applications employ artificial intelligence to detect and identify persons, objects, animals, packages, license plates and other subjects of interest visible in video camera feeds. Video analytics can also be fused with other contextual sensor data to validate the meaning and intent of the video subject, a critical issue in security use cases.
Advances in enterprise video analytics are trickling down to consumer applications as chip, sensor and Cloud computing costs become more affordable, but these are still early days with relatively simple applications.
Video processing can occur at the edge device, on an edge or on-premises server, in the Cloud, or a hybrid combination. Consumers are willing to pay for video verification as well. Parks Associates data finds that 50% of current subscribers will purchase add-on video verification for $10 per month.
From the article "AI, Sensors and Video Surveillance Verification: Home Security Innovations You Need to Know" by Dina Abdelrazik.
While I’m eager to watch the unfolding evolution of smart home technologies, with mind-blowing features like voice-enabled technology, machine learning, virtual reality, location services, and demand...
Raj then moved on to talk more specifically about voice search. He referenced research from ComScore last year which stated that by 2020, 50% of searches will be conducted via voice. Further research...
At the moment, hospitality, retail, and even QSR brands are examining the role that voice-activated assistants could play in complementing service and sales staffs at their respective hotels and store...
Before we go any further, let’s look at the vastness of the IoT space for a moment. The global Internet of Things market will grow to $1.7 trillion in 2020 from $655.8 billion in 2014. According to Ga...
