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Vision Kit for the Ned2 Robot Arm
Niryo | A-000000-05248
€958.80
20 perc. French VAT inc.
Niryo has also chosen to equip its Ned2 robot arm with a vision set, for colour object detection and recognition.
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Vision Kit: the best solution for getting started with AI and Machine Learning
Unlock new perspectives for your projects and prototype advanced Industry 5.0-oriented processes with the Vision Set.
This kit gives the Ned2 the ability to detect and select objects to interact with. It includes a camera and objects of various shapes and colors, allowing you to explore topics such as image recognition, machine learning, and artificial intelligence through vision.
The workspace sticker, also included in the Vision Set, can be attached to the Vision Plate and works in horizontal, vertical, or inclined positions. Its nano-suction technology ensures strong adhesion and reusability.
Key Features
- Object detection based on shape and color.
- Easily execute advanced functions like visual picking using block models in Niryo.
- Studio’s Blockly interface.
- A wrist-mounted camera providing a comprehensive field of view.
- Modular workspace that can be adjusted in both orientation and inclination.
- Fully compatible with the Ned2 ecosystem.
Using the Vision Set
1. Install the Vision module on the robot’s wrist.
2. Connect it to the Ned2 via the USB 3.0 ports on the rear panel.
3. Choose your programming method:
With Niryo Studio:
- Calibrate the workspace.
- Open the visual programming interface (Blockly).
- Use the new blocks to perform advanced functions.
With a TCP script:
- Use the robot’s TCP Client/Server environment.
- Write a script in your preferred programming language.
- Leverage the new functions introduced by the Vision Set.
Package Contents:
- 1 x Camera
- 2 x Screws to fix the camera to its mount
- 1 x Workspace
- 1 x Calibration tip
- 6 x Objects to manipulate (3 squares & 3 rounds)
- 1 x USB Cable
- 2 x Velcro straps to attach the cable
Niryo has also chosen to equip its Ned2 robot arm with a vision set, for colour object detection and recognition.
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