Meta Unveiled SAM 3.1: Real-Time Tracking of 16 Objects in Video

Meta unveiled SAM 3.1—an update to its Segment Anything Model 3 for video analysis. The key improvement lies in the new architecture: the system now tracks up to 16 objects in a single computational pass and runs twice as fast, achieving 32 frames per second on H100 GPUs.

How Multiplexing Works

Previously, the approach was straightforward but inefficient: SAM 3 processed each object in a video separately. Tracking 16 objects required 16 computational passes. This was slow, demanded massive GPU memory, and created processing bottlenecks.

SAM 3.1 solved this problem through multiplexing—a single pass processes all objects at once. The model doesn't just see individual objects but perceives the entire scene. This enables it to use global reasoning for more accurate tracking, especially when objects overlap or move in complex conditions.

The results are evident in practice: on H100 GPUs, the system achieves 32 fps instead of the previous 16 fps. More importantly, this means high-performance video analysis now requires fewer resources. SAM 3.1 runs on less powerful hardware, making AI vision more accessible to startups, agencies, and small companies that previously couldn't afford their own GPU clusters.

Universal System for Different Tasks

SAM 3 is not a narrowly specialized tool. It's a universal platform that works equally well on static images and video, accepting various types of input data.

The system understands text queries: instead of asking "find an umbrella" (which would find any umbrella), you can specify an exact visual concept—"find a striped red umbrella"—and SAM 3 will locate that specific object.

Beyond text, the model works with visual cues: masks, bounding boxes, points on objects, and exemplar prompts (object samples). This solved a long-standing problem with previous computer vision models. Older systems only worked with fixed categories: person, car, dog, bicycle. SAM 3 can segment and track any visual concept you describe or show without requiring retraining on new data.

Where SAM 3.1 Is Already Being Applied

Meta is already integrating SAM 3 into commercial products:

• Instagram Edits—new dynamic visual effects that work only with selected objects
• Vibes in Meta AI—expanded capabilities for creating and editing content with AI
• Facebook Marketplace—the "View in Room" feature lets buyers virtually visualize furniture and décor in their homes before purchase
• Segment Anything Playground—an open platform where anyone can upload video or photos and see segmentation in real-time

The Playground requires only a browser—no code, no GPU configuration. This democratizes access to state-of-the-art computer vision.

What This Means

AI-powered video analysis is transitioning from specialized labs and mega-corporations to mainstream applications. SAM 3.1 isn't just faster and cheaper—it's a turning point. AI vision is now accessible to developers and mid-sized companies that previously couldn't afford their own GPU clusters or specialized computer vision experts.

Watch for new applications: in security (intelligent video surveillance), e-commerce (virtual try-ons and visualization), logistics and manufacturing (quality control), and media (automated editing and effects). SAM 3.1 will form the foundation for a wave of new services in the coming months.

*Meta is recognized as an extremist organization and banned in the Russian Federation.