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KJT | PRODUCT NOTE
KJT KM Industrial-Grade TOF Camera
From "Seeing" to "Understanding"
Bringing 3D Information into the Automation Field
High-Precision 3D Perception · Stable Depth Information Output
01. What Industrial Vision Needs is More Than Just "Seeing" (WHY 3D VISION)
Today, as automation equipment continuously evolves towards flexibility and intelligence, simply identifying "whether a target is present" can no longer cover all site needs. How far the target is from the camera, its volume, its pose, where the grasping point is—this spatial information is becoming a crucial basis for robots, logistics, and smart equipment to make their next decisions.
The KJT KM industrial-grade TOF camera is designed for 3D perception applications. By outputting depth information, it provides a more intuitive spatial data foundation for equipment. Compared to 2D images that only focus on planar appearance, depth data is more suitable for determining distance, volume, position, and pose, allowing the vision system to move from "seeing the target" to "understanding space."
02. Four Capabilities Establish the Core Value of 3D Perception (CORE CAPABILITIES)
| Core Capability | Description | Core Message |
| 3D Depth Imaging | Continuously acquires depth information of targets and scenes, providing a basis for judging distance, size, volume, and spatial relationships. | Not just looking at contours, but looking at spatial depth. |
| Stable Data Output | Aimed at continuous detection needs in industrial scenarios, it provides a more stable data link for subsequent recognition, positioning, and control. | Making depth data truly participate in control. |
| Compact Industrial Structure | The product features a compact body and industrial interface layout, making it easy to embed into equipment, workstations, and vision systems. | Fits easily and is easier to integrate. |
| Multi-Scenario Adaptability | Can build 3D vision applications around tasks such as measurement, recognition, guidance, and sorting. | One set of depth information, multiple application paths. |
Turning "depth" into data, and "space" into computable information.
03. Four Typical Scenarios: Converting Depth Data into Production Decisions (APPLICATIONS)
| Application Scenario | Role of Depth Data | Value on Site |
| Volume Measurement | Obtains height, contour, and spatial occupation information based on target surface depth changes. | Used for volume/size judgments of materials, boxes, pallets, etc. |
| Target Recognition | Combines depth and morphological information to assist in judging target presence, position, and contour differences. | Reduces the judgment limitations caused by relying solely on planar appearance. |
| Robot Guidance | Provides 3D position references for grasping, handling, and positioning tasks. | Helps robots "find and approach the target" more accurately. |
| Logistics Sorting and Area Perception | Continuously perceives conveying areas, cargo heights, and spatial positions. | Provides a data foundation for automated processes such as sorting, stacking, and channel management. |
04. From Camera to System: How 3D Information Enters the Automation Process (SYSTEM INTEGRATION)
Truly valuable industrial vision is not just about "taking a picture," but letting the data enter subsequent decision-making. The KM camera can serve as a 3D perception front-end, passing scene depth information to vision algorithms, robot controls, or upper-level automation systems for recognition, measurement, positioning, and task decision-making.
Acquisition: Obtain scene depth
Processing: Form depth/spatial information
Judgment: Identify target and position
Execution: Link with robots or equipment
For equipment integration, the clearer the front-end perception, the easier it is to establish the back-end logic. The value of the KJT KM industrial-grade TOF camera lies precisely in converting complex spatial relationships into data that is easier for systems to read and utilize.
"From 2D seeing to 3D understanding; from single-point recognition to spatial decision-making."
