SOLOMON■SolScanEvaluate your application ↗
3D vision for smarter automation.

SolScan
Industrial
3D Camera
+ AI software

Advanced 3D vision for
system integrators and machine builders.

SolScan combines 3D imaging with AI software to recognize objects and determine their position and orientation, even with challenging materials and newly introduced products. Integrate this vision data into your own robotic and automation solutions.

Request a sample evaluation ↗Technical Specifications
White industrial robot above tightly aligned identical cartons with subtle printed patterns and narrow visible seams
Included

3D camera and AI software in one product.

Capture 3D data, perform 3D object recognition, and determine object position and orientation with integrated hardware and software.

Development

Simplify vision integration.

Use ready-to-integrate vision capabilities to reduce development effort and focus on building your application.

Differentiation

Expand your automation capabilities.

Develop solutions for common and challenging materials, changing product requirements, and a wider range of industrial applications.

SolScan

Industrial 3D Camera + AI software

Sensor resolution
5.0MP
Point cloud resolution
960 × 600
SolScan industrial 3D camera with a white housing and red SOLOMON logo
Camera interface
GigE Vision
Compute platform
NVIDIA GPU

Challenging materials, too.

From common objects to materials that are difficult for conventional 3D vision systems.

  • TRANSPARENT

    Capture difficult transparent surfaces.

    Capture 3D data from textured transparent and translucent objects that can be difficult for conventional cameras to detect.

  • REFLECTIVE

    See reflective objects in 3D.

    Recognize and locate reflective objects, including polished metal parts and glossy components that can interfere with conventional 3D imaging.

  • DARK

    Detect dark and low-reflectivity objects.

    SolScan provides 3D vision for dark-colored objects and other low-reflectivity materials, helping industrial systems recognize and locate objects that conventional cameras may struggle to distinguish.

  • POLYBAGGED

    Recognize objects in challenging packaging.

    Capture 3D data from polybagged products to support object recognition, automated handling, and package dimensioning.

Your solution.Powered by SolScan.

SolScan's integrated AI software enables your applications to learn new products, distinguish individual objects, and determine their position and orientation. These capabilities provide the foundation for developing flexible automation solutions across a wide range of industrial applications.

Video content will be added once confirmed. Evaluate learning, recognition and pose estimation with Solomon using your samples.

Your application

Put intelligent 3D vision to work.

From outdoor automation to robotic picking and dimensional measurement, SolScan provides the 3D imaging and AI capabilities needed to develop a wide range of industrial applications.

White mobile robot unloading cartons at a truck opening with sunlight and shade across the loadOUTDOOR & NATURAL LIGHT

Outdoor 3D Applications

Bring 3D vision into the sunlight.

SolScan captures 3D object information in outdoor and sunlit environments where conventional cameras may struggle to produce consistent results. This enables developers to build automated systems that recognize, locate, and measure objects beyond controlled indoor environments.

Applications
Dock HandlingAgricultural RoboticsOutdoor DimensioningSolar Panel RoboticsMaterials-Yard Automation
White robot lifting a horizontal transparent vial with a small suction cup attached to its glass sidewallROBOT GUIDANCE

Robotic Picking

Recognize and locate objects for automated picking.

SolScan provides the object recognition and 3D positioning data needed for 3D bin picking and other robotic handling applications. Its AI software helps identify both challenging and everyday objects, including transparent, reflective, dark, and polybagged materials, while integrators handle robot motion planning and grasping.

Applications
Random Bin PickingPiece PickingKittingMachine TendingDepalletizing
A carton, a polybagged garment, an irregular parcel and a small cosmetic glass container, each with individual dimension linesSIZE & SPACE

Dimensioning

Measure object dimensions with 3D vision.

Use SolScan's 3D imaging capabilities to develop a 3D measurement system for cartons, polybagged products, pallet loads, and irregularly shaped objects. Capture dimensional data, including length, width, height, and overall size.

Suitable Objects
ParcelsPalletsPolybagged ItemsConsumer ItemsTranslucent Objects

How It Works

From 3D vision to your application.

From introducing new products to integrating 3D vision outputs, see how SolScan fits into your development process and where your own application takes over.

SolScan Product3D camera + AI software
  1. 01

    Show it

    Capture one or a few reference images of the object you want SolScan to recognize.

  2. 02

    Teach it

    Use one-shot or few-shot learning to introduce the new product without creating a large training dataset or preparing a CAD model.

  3. 03

    Locate it

    Recognize the object and obtain its identity, 3D point cloud, position, and orientation.

    X, Y, Z, Rx, Ry, Rz
Integrator/Machine BuilderApplication development
  1. 04

    Integrate it

    Use SolScan's vision outputs to develop your application's logic, including robot guidance, object handling, or measurement workflows.

Integrator/Machine BuilderApplication execution
  1. 05

    Put it to work

    Use the integrated vision information to guide robotic operations, process measurements, or support other automated tasks.

Challenging object cells

Four challenges. One 3D foundation.

Reflective metal, dark plastic, translucent silicone and layered steel. One SolScan moves between four illustrated cells, from surface sensing and pose output to an integrator-developed handling example.

Application: Reflective Buckles

SolScan Scope

3D Sensing & Data Output

Show it

Show both faces of a reflective buckle.

The opening, raised bridge and reverse face provide distinct reference features.

Teach it

Learn the shape behind the reflections.

The reference cloud preserves the buckle outline and its front-to-back differences.

Locate it

Locate one buckle among overlapping metal.

One target is separated from the pile; its measured position and tilted pose are handed off.

View this integration case

Illustrated challenge

Without 3D guidance

Development Example

Integrator / Machine Builder Examples

One preset misses the buckle while a second grips it too high and off-centre, letting it slip.

Use the measured pose to grip the fallen buckle on opposite edges and load the fixture.

Place the located buckle in the fixture for the machine to process.

Application: Low-Contrast Plastic

SolScan Scope

3D Sensing & Data Output

Show it

Show the shape of a dark plastic housing.

Similar dark surfaces hide the differences between sockets, latches and keys.

Teach it

Distinguish the housing by its geometry.

The 3D reference describes the socket openings and moulded key, without colour coding.

Locate it

Separate one housing from its neighbours.

The selected identity, height and tilted pose remain distinct in the low-contrast pile.

View this integration case

Illustrated challenge

Without 3D guidance

Development Example

Integrator / Machine Builder Examples

One preset misses the socket while a second grips too shallowly, letting the housing slip.

Use the measured pose to align the fingers for a deeper grip inside the socket.

Fill the kit tray before moving it onward once the tool is clear.

SolScan application concept 2

Application: Translucent Silicone

SolScan Scope

3D Sensing & Data Output

Show it

Show the hollow, curved silicone shape.

A thin flange, curved shoulder and open cavity define the translucent reference sample.

Teach it

Capture the curved surface as a 3D reference.

The illustrative cloud follows the actual shell rather than a solid bounding box.

Locate it

Locate one nipple within the overlap.

One curved shell and its 3D pose are identified in a material-specific setup.

View this integration case

Illustrated challenge

Without 3D guidance

Development Example

Integrator / Machine Builder Examples

Both presets misjudge the surface angle, leaving uneven cup contact that lets the silicone part peel away.

Use the measured surface angle to centre the suction cup evenly on the silicone part.

Place each silicone nipple upright in a separate fixture nest.

SolScan application concept 3

Application: Deep-Bin Steel

SolScan Scope

3D Sensing & Data Output

Show it

Show both faces of a slotted steel core.

Open slots and laminated edges provide a reference for flipped and tilted parts.

Teach it

Build a reference of the irregular steel shape.

The sample cloud retains the slots and layered profile that distinguish each part.

Locate it

Locate a tilted core above the lower layers.

One target retains its full XYZ position and three-axis rotation despite partial occlusion.

View this integration case

Illustrated challenge

Without 3D guidance

Development Example

Integrator / Machine Builder Examples

One preset stops above the steel while a second contacts a narrow tongue, letting the core drop.

Use the measured pose to seat the magnetic tool on the solid steel spine.

Lift each steel core clear of the bin and place it on the conveyor.

SolScan application concept 4
Request a sample evaluation ↗

See how SolScan fits your application.

Explore how SolScan's vision outputs could support your automation system, from object recognition to 3D positioning and measurement.

FAQ

Common Questions About SolScan

Answers about 3D vision, object recognition, robotic applications, and system integration.

What is the difference between SolScan and AccuPick?

SolScan is an industrial 3D camera with integrated AI software that provides accurate 3D imaging, object recognition, and positioning. Designed for system integrators and machine builders, it provides the vision capabilities needed to develop a wide range of industrial automation applications. AccuPick is a complete robotic picking solution that combines these vision capabilities with robot integration, grasp planning, and motion control. SolScan offers a versatile vision platform for customers developing their own applications, while AccuPick provides an integrated solution specifically for automated robotic picking.

What are the advantages of SolScan's integrated 3D camera and AI software?

SolScan combines accurate 3D imaging with intelligent AI software that performs 3D Object Recognition and determines object position and orientation. By providing these capabilities in one product, SolScan reduces the need to develop separate imaging and recognition systems. This simplifies vision integration, supports faster deployment, and allows system integrators and machine builders to focus on developing their own applications.

Can SolScan recognize both everyday objects and challenging materials?

Yes. SolScan combines 3D imaging with intelligent AI recognition to identify and locate a wide range of industrial objects, from everyday products and components to challenging materials such as textured transparent surfaces, reflective metals, dark objects, and polybagged products. These capabilities support applications ranging from routine object recognition and measurement to more demanding automation tasks. Imaging and recognition performance depend on material properties, object geometry, and operating conditions.

How quickly can SolScan learn to recognize new products without CAD models?

SolScan uses one-shot and few-shot learning to recognize new products from one or a few reference images, enabling quick onboarding of new items without collecting large training datasets. Its CAD-free 6D pose estimation can also determine an object's position and orientation without requiring a CAD model. These capabilities help developers introduce new products and adapt to changing requirements with less training and development effort. Actual onboarding time depends on the object and application.

What does SolScan provide for system integration and rapid deployment?

SolScan combines an industrial 3D camera with integrated AI software to provide 3D imaging, object recognition, and spatial positioning capabilities in one product. Its outputs include point clouds, object identification, and 6D pose data (X, Y, Z, Rx, Ry, Rz), which developers can incorporate into applications such as robotic guidance, automated handling, and dimensional measurement. By supplying these vision capabilities together, SolScan helps reduce development effort and supports faster deployment. Application-specific functions, including robot motion and grasp planning where required, are handled separately.

Contact

What could you build with SolScan?

Discover how SolScan's 3D imaging and AI capabilities could support your next application. Share your objects, requirements, and operating conditions to evaluate how the technology performs in your intended environment.

01

Share your application.
Tell us what you need to recognize, locate, or measure, along with your operating requirements.

02

Review the technical fit.
Work with Solomon to assess whether SolScan's imaging and AI capabilities meet your application needs.

03

Arrange a sample evaluation.
Evaluate SolScan using representative objects and operating conditions to determine the next steps.

Request a sample evaluation

Tell us about your application and the objects you want SolScan to recognize, locate, or measure.

Draft preview: review or download your inquiry. This form does not send a request.

Specifications

SolScan Specifications

Measured values reflect the worst case across the tested positions, without compensation or correction.

SolScanMeasured specifications
Sensor resolution2448 × 2048 (5.0 MP)
Lens6 mm, F5.6, focused at approximately 1.9 m
Calibrated effective focal length: 6.1 mm
Baseline240 mm
Point cloud resolution960 × 600 (576,000 points)
Working distance1400 to 2650 mm
Tested over 1400 to 2733 mm
Field of view (stereo overlap)1293 × 1283 mm at 1400 mm
2661 × 2428 mm at 2650 mm
Spatial resolution X / Y (point spacing)1.60 / 2.14 mm at 1400 mm
3.02 / 4.05 mm at 2650 mm
Point precision (1 standard deviation)0.37 mm at 1400 mm
1.11 mm at 2650 mm
Plane RMS (single shot)0.90 to 1.53 mm
3D capture time (single shot, trigger to point cloud)Windows, RTX 5090 Laptop GPU: median 0.35 s, max 0.46 s
Jetson Orin NX 16 GB (MAXN): median 1.68 s, max 1.82 s
InterfaceGigE Vision (PoE)
Compute platformNVIDIA GPU required
Windows PC: RTX 3070 or higher
Jetson Orin NX: 16 GB or higher