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Autonomous AI Sorting System is an educational demonstration robot kit integrating various AI elements. This system consists of multiple components, including an AiNova vision robot car, two AiArm vision robot arms, and electric conveyor belt, an electric sliding rail, a variety of sorting props, and a map.Leveraging AI vision capabilities, robot car and robot arms can effectively recognize different waster categories. Once waste category is identified, they collaborate with sliding rail and conveyor belt transport and deposit objects into corresponding trash bin.
Autonomous Al Sorting System offers a highly realistic simulation of real-world operational scenarios. This enables a vivid and direct demonstration artificial intelligence,robot engineering,and multi-machine cooperation technologies.Therefore,it serves as a nice tool for teaching students how to incorporate Al technology into everyday applications.
– FullyEquipped,RapidSetup
The robot kit comes with abundant components, including an AiNova vision robot car, two AiArm vision robot arms, an electric conveyor belt,an electric sliding rail, a variety of sorting props, and a map. With these resources at your disposal, you can easily construct a miniature intelligent city sorting system.
– AiNovaSmartTransportRobotCar
Loaded with a 4-ch line follower,Al vision module and gripper, AiNova is able to detect waste while navigating along a line, then transport the detected waste to specific position.
– CooperativeIntelligentSorting
1 AiArmVisionRobotArm1
Utilizing its Al vision capabilities, robot arm 1 can identify waste blocks,pick them up, and carefully place them onto the electric conveyor belt.
2AiArmVisionRobotArm2
Robot arm 2 is responsible for detecting waste blocks on the conveyor belt and determining waste category using Al vision module. It glides along the sliding rail and precisely drop down waste blocks to corresponding trash bins.
– Scratch&Python2in1
Autonomous AI Sorting System can be programmed using Scratch and Python, which caters to users with varying levels of proficiency
– Scratch3.0VisualProgramming
Scratchisauser-friendlyandvisuallyintuitiveprogramminglanguage.With Scratchm you can effortlessly drag and drop code blocks to program the robot.
– PythonProgramming
Visual programs can be seamlessly converted into Python code, providing an opportunity to learn advanced programming skills.
– AlIntelligentVisionModule
1SwiftImageProcessing
AiNova is loaded with a WonderCam vision module that possesses powerful computing capabilities. This allows for one-click Al training, eliminating the need for complex training processes and intricate vision algorithms.
2WithMetalProtectiveCase
Protective Case WonderCam is encased in a metal protective case, offering full protection against scratch and enhancing its overall appearance.
3Built-in2-inchTIPSColorScreen
WonderCam features a built-in 2-inch IPS color screen with a 320x 240 resolution, providing a clear and first-person view user interface.
4One-click TrainingLearning
WonderCam is not only capable of recognizing pre-built materials, but it can also be used to train other models. In addition, you can control the entire model entire model training process by configuring parameters and indicators.
– AlVisionRecognition
DiverseRecognitionModes:
WonderCam Al vision can perform various Al vision functions, such as facial recognition, object tagging, color recognition, and road sign recognition.
1) FacialRecognition
WonderCam can detect a specified human capturing its position and size for precise facial detection, recognition, and track the position and 3D conversion data of the rec- ing purposes.
2) TagRecognition
WonderCam is capable of recognizing AprilTag. Through I2C port,external device can retrieve the position and 3D conversion data of the recognized tag,allowing for spatial localization.
3) ColorRecognition
WonderCam has the ability to recognize and retrieve their size and position,enabling color recognition and tracking functionalities.
4) RoadSignDetection
WonderCam can implement intelligent transportation and autonomous driving functions by recognizing road signs.
View moreWhat’s Included
AiArm Vision Robot Arm Parameters:
Size: 285*162*440mm
Weight: 1.7kg
Material: Hardaluminiumalloy+PCplastic
Camera: WonderCamvisionmodule
Display: 2-inchIPS,320x240resolution,size:41*31mm
DOF: 5+1
Hardware: CoreXcontroller
Software: PCsoftwareandWoderCode(ScratchandPython)
Servo Control: LX-15D,HTD-20LandHX-06Lserialbusservo
Control Method: PC software
Power supply of robot arm 1: 7.5V 7A DC 5.5*2.5 and 7.5V 3A DC 3.5*1.35 power adaptor
Power supply of robot arm 2: 7.5V 7A DC 5.5*2.5 power adaptor
AiNova Robot Car Parameters:
Size: 240 * 140 * 190mm
Weight: 0.74kg
Material: Metal bracket
Camera: WonderCam vision module
Display: 2-inch IPS, 320 x 240 resolution, size: 41 * 31mm
Power supply: 18650 Lipo battery (3.7V 1800mah) * 2
Battery life: 45 minutes
Hardware: CoreX controller
Software: PC software and WoderCode (Scratch and Python)
Servo model: HX-08L serial bus servo
Control method: PC software
Dimensions
Map: 966*1450mm
AiArm robot arm: 285*162*440mm
AiNova robot car: 240*140*190mm
Multimedia
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AiArm Vision Robot Arm 1:
1* AiArm robot arm 1
1* WonderCam vision module
1* 7.5V 7A DC5.5*2.5 power adaptor
1* 7.5V 3A DC3.5*1.35 power adapter
AiArm Vision Robot Arm 2:
1* AiArm robot 2
1* WonderCam vision module
1* 7.5V 7A DC5.5*2.5 power adapter
AiNova Robot Car
1* AiNova Robot Car
1* WonderCam vision module
1* Gripper
2* 18650 Lipo battery (3.7V 1800 mAh)
1* Battery charger
1* USB cable
Props:
1* Electric conveyor belt
1* Electric sliding rail
1* Base board set
4* Trash bin (red, green, blue, gray)
1* Waster card set (4*4cm)
6* Block (4*4cm)
1* USB cable
1* Map (1450*966mm)
1* Screwdriver