ToF Module is a category of depth camera module products designed for robot vision, machine vision and AI vision scenarios, outputting depth information based on time-of-flight principles, suitable for 3D vision perception, spatial measurement and human behavior understanding applications.
SGI's current ToF Module product line covers different resolutions, fields of view and integration directions. These modules can function as standalone depth camera front-ends or integrate seamlessly with RGB cameras, edge computing platforms or industry-specific solutions. For projects prioritizing spatial distance measurement, 3D vision perception stability and engineering integration efficiency, ToF modules are often more suitable as perception foundations than traditional 2D camera modules.
This page serves as a ToF family page, primarily helping customers quickly understand product hierarchy and selection logic by providing model-level summary information. If your project has entered the evaluation or implementation phase, we recommend confirming the final model based on application distance, FOV, interface and host platform requirements.
Suitable for robot perception front-ends, smart home terminals and compact AI vision devices.
Ideal for human perception, indoor interaction and 3D vision scenarios requiring larger coverage areas.
If your project focuses on compact size, low power consumption and easier integration with existing host platforms, Roar3D is more suitable as the first-round evaluation candidate; if your priority is wider FOV, higher resolution and larger coverage area, PanLeo deserves priority comparison. For projects centered on robot vision, smart space perception and behavior analysis, ToF module selection typically requires综合考虑 installation height, ranging interval, field-of-view coverage and interface compatibility.
ToF modules are commonly deployed in robot obstacle avoidance and navigation, fall detection, space occupancy judgment, human posture understanding, smart home interaction, access control perception and industrial near-to-mid-range depth sensing front-ends. In these applications, depth cameras provide stable 3D vision information without relying entirely on complex stereo matching or high-cost LiDAR solutions.
If you are comparing different ToF module approaches or wish to narrow down selection options for robot vision, machine vision, or AI vision scenarios, please feel free to contact us directly. We can provide further specification recommendations and project consultation support.
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