Smart algorithm transforming real-time monitoring

02/04/2025

Huvr has introduced the Advanced Understanding and Reasoning Algorithm (AURA), which it claims is redefining what organisations can do with data.

Herman DeBoard, CEO of Huvr, said: “When organisations get to know AURA, they come to see the system as far more than software. Our artificial intelligence (AI) becomes more like your partner, the missing team member that knows exactly how to make your operations safer and more efficient.”

Huvr integrates data from high-definition video, audio monitoring and environmental sensors to provide organisations with comprehensive insights into their environments. Through the use of AURA, organisations can utilise the mountains of data continuously streaming through those sensors.

“We launched Huvr in 2019 with a video app and a fibre-optic interferometer sensor called OpticSense,” recalled Herman. “The real breakthrough occurred when we developed the control panel and built machine learning and artificial intelligence into it. In addition to listening to our OpticSense product and watching our camera product, AURA can connect to an unlimited number of sensors. As long as the sensor is broadcasting some sort of application programming interface (API) or webhook signal, AURA can read it.”

When Huvr introduces AURA to a facility, the highly sophisticated AI system taps into various sensors to access every part of the organisation’s operations. It seamlessly integrates with existing security cameras and its multi-patented fibre-optic ring interferometer detects sound anomalies with exceptional precision. Additionally, AURA begins to collect data from an unlimited number of environmental sensors, including smoke detectors, motion sensors, heat sensors, humidity monitors, vibration sensors and lightning detection systems.

As AURA collects data from every corner of the facility, it compares the constant flow of sensory information to initial input from the organisation’s team and other systems worldwide. In its new home, AURA quickly learns to interpret the data to distinguish what is normal from what is not.

Best of all, AURA learns the people who need its data and begins communicating with them through an extensive range of sensor inputs, empowering it to deliver comprehensive analyses and actionable insights. Ultimately, the AI equips a lifeless structure with five senses and a working brain, constantly monitoring, analysing and reporting information.

“Once AURA is plugged in, the system becomes a sentient employee. AURA hears things, sees things, feels things, smells things and analyses all of that data to provide advice in real time,” Herman explained.

AURA’s powerful analytics engine delivers clear, concise insights that make it easy for decision-makers to understand trends, assess risks and act decisively. “You can train AURA to give you any kind of event-based data you want,” noted Herman. “If you are interested in security events, then you train AURA to look for security events. If you are interested in surveillance, you train AURA to do surveillance. If you are interested in marketing, you train AURA to look for marketing events.”

In terms of security, a resort that was having trouble with people breaking into cars trained AURA to listen specifically for things like screeching tyres and breaking glass. Herman added: “We code in the activities they want to watch for and, over time, AURA becomes very good at recognising them.”

In the case of a car break-in, the system’s fibre-optic ring interferometer would easily detect the audio anomaly of breaking glass. AURA would immediately direct security cameras to gather a 60 s clip of the disturbance and analyse the footage and the system would use that data to categorise the event as a high-level threat. Within seconds, police and security teams would receive a detailed text message describing the age, gender and clothing of the individuals involved, as well as an account of their actions and direction of movement. AURA would also equip them with the make and model of their car and its licence plate number.

In a surveillance application, AURA has been trained to monitor the soft count room in a casino. Each day, 100% of the casino’s money goes into that room to be physically counted.

“There are over 50 cameras in this one little room,” said Herman. “We trained AURA to watch for behaviours such as hands being placed in pockets and it does it exceptionally well.”

In a restaurant application, AURA watches specifically for Occupational Safety and Health Administration (OSHA) violations. “It knows where the gloves are, what it looks like when employees put them on and what food preparation looks like,” remarked Herman. “When an employee does not put gloves on, it flags the manager and says: ‘Training opportunity, someone did not put gloves on before touching food’.”

Regarding marketing, AURA will monitor a series of concerts at a large casino. The theatre holds 4000 people and, when the concert ends, the organisation wants to know where these people are going and what they are doing. Their goal, of course, is to keep people on the premises, in restaurants and on the gaming floor. Using heat map data, AURA will determine where people are going, put signage on screens and direct crowd flow in real time.

“AURA does not just collect information,” Herman remarked. “This AI-driven system understands and reasons. In other words, instead of waiting for anomalies to occur, AURA learns to anticipate them.”

AURA is rapidly becoming an all-seeing employee that can do whatever organisations need. When organisations adopt AURA, they are not just adding technology, they are stepping into the future of intelligent monitoring with a partner who is always learning, adapting and one step ahead.