Spot AI has launched Iris, a groundbreaking platform that enables the creation of customized AI agents for enterprise camera systems, touted as the world’s first universal video AI agent builder.

This innovative tool allows businesses to develop tailored AI agents through a conversational interface, simplifying the process of monitoring and taking action on video data from physical environments without requiring extensive technical expertise.

Designed to cater to industries such as manufacturing, logistics, retail, construction, and healthcare, Iris builds upon Spot AI’s earlier introduction of pre-built Video AI Agents for safety, security, and operations. While these pre-built agents focus on common use cases, Iris provides organizations with the flexibility to train agents for more specific, business-critical scenarios.

According to Spot AI, users can create video agents in a remarkably short time frame. The system enables training through reinforcement, utilizing examples of what the AI should and shouldn’t detect, and can be configured to trigger real-world responses, such as shutting down equipment, locking doors, or generating alerts.

CEO and Co-Founder Rish Gupta noted that the tool significantly reduces the time required to create specialized video detection systems.

“What previously took months of development can now be accomplished in mere minutes,” Gupta explained. “Before Iris, creating specialized video detection required dedicated AI/ML teams with advanced degrees, thousands of annotated images, and 8 weeks of complex development. Iris empowers any business leader to achieve the same results through a simple conversation, using just 8 minutes and 20 training images.”

Examples from Real-World Settings

Spot AI highlighted a variety of industry-specific use cases that Iris could support:

• Manufacturing: Detecting product backups or fluid leaks, with automatic responses based on severity.
• Warehousing: Identifying unsafe stacking of boxes or pallets to prevent accidents.
• Retail: Monitoring shelf stock levels and generating alerts for restocking.
• Healthcare: Distinguishing between staff and patients wearing similar uniforms to optimize traffic flow and safety.
• Security: Identifying tools like bolt cutters in parking areas to address evolving security threats.
• Safety Compliance: Verifying whether workers are wearing required safety gear on-site.

Video AI agents continuously monitor critical areas and help teams respond quickly to safety hazards, operational inefficiencies, and security issues. With Iris, these agents can be developed and modified through natural language interaction, reducing the need for engineering support and making video insights more accessible across departments.

Looking Ahead

Iris is part of Spot AI’s broader effort to make video data more actionable in physical environments. The company plans to discuss the tool and its capabilities at Google Cloud Next, where Rish Gupta is scheduled to speak during a media roundtable on April 9.

(Image by Spot AI)

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