AI Video Analytics Can Replace Human Roles

Although this technology offers features that automate many tasks, video analytics cannot entirely replace humans.

AI requires human involvement to implement solutions and make decisions based on the insights obtained from video analytics.

Rather than replacing human roles, AI video analytics can help employees focus better on their respective responsibilities by reducing workloads and optimizing their workflows.

AI Video Analytics Doesn't Require Maintenance

As mentioned earlier, while it can automate camera monitoring and analysis processes, video analytics still requires human involvement for periodic maintenance and updates at regular intervals.

This process is crucial because it includes:

• Monitoring equipment performance, such as cleaning lenses from dust and other obstructions.
• Improving accuracy by monitoring results and adjusting algorithms based on evolving needs.

Video Analytics Is Only for Large Companies

Video analytics is not exclusively for large corporations. With technological advancements, this technology has become accessible and integratable for businesses of all scales.

The difference between video analytics for large and small companies lies in scale, complexity, and budget. For example, small retail stores can utilize this technology to count customer numbers, monitor crowded areas, or analyze buyer behavior within the store.

AI Video Analytics Is Only for Security Purposes

Although surveillance cameras/CCTV are often associated with security, in reality, AI video analytics can be utilized for various specific business needs, such as:

• Retail Stores can use AI video analytics to analyze customer behavior in-store, monitor frequently visited areas, and track customer visit patterns.
• Manufacturing & Logistics can utilize AI video analytics to monitor production processes and ensure compliance with safety SOPs among employees.
• The Agriculture Industry can employ AI video analytics to supervise crop growth or monitor livestock activities.
• Traffic Management can use AI video analytics to monitor vehicle density, identify causes of congestion, and categorize incoming and outgoing vehicle types.