Real-Time Robot Image Processing (Acquisition, Tracing, Recognition) Training Kit RoboCAR-Vision

 ( Acquisition, Tracing, Recognition) Training Kit
RoboCAR-Vision

• Intelligent Mobile Robot control Experiment
• Automatic Detection of obstacles with Ultrasonic and Infrared Sensors
• Detection of Robot movement with various Sensors applications
• Line tracer driving using the phototransistor at the bottom of body
• Large capacity battery supports Full time Experiment and operation without Power limit.
• Designed to educate the basic Robot actuator and embedded Micro-Processor(ATmega128)
• Application for Sensor signal processing and actuator control.
• Robot Image processing and View point Control Vision Algorithm development using Pan/Tilt actuator and duplex wireless communication supporting camera
• Provides various Sensors such as Ultrasonic, Infrared, Accelerometer, and Photo sensor for Robot actuator control
• experiment.
• Image Processing for Intelligent Mobile Robot applications using wireless vision solutions supports Vision solution
• experiments and studies properly.

Applications:

• Image Processing Based Autonomy Driving System
• Automated system of Object recognition
• Intelligent Robot Image Processing
• Biometrics Systems
• Various Vision Systems application
   

Coax Helicopter Robot

CoaXM is a robotic coaxial helicopter designed to
be the ideal solution for research & education

• Safe operation
• Cost effective
• Rich sensor set
• Embedded computer
• API for high level control
• Openͽsource software
• ODE and Simulink® simulators

CoaXM base

• 2x DSP (dsPIC)
• Inertial Measurement Unit (IMU)
• Pressure sensor (altitude)
• Sonar (altitude)
• Bluetooth or XBee® module
• Remote control (2.4 GHz)

CoaXM package - optional

• Gumstix Overo 600MHz
• WiFi
• Camera
• Linux OS
• IR sensor (lateral distance)

General specifications

• Span: 340 mm
• Height: 274 mm
• Weight : 280 ͽ 320 g
• Autonomy up to 20 min

Intelligent Education ROBOT Platform ED-7270

• lnsight into the intelligent robot and step-by step practices
• Various services through the functions of Zigbee and RFlD reader
• Recognition of the robot's position and direction
• Various training contents using the dialogue language (programs)
• lmage processing by the Fan/Tilt USB camera
• Human-friendly design to interact with the human being
• ldeal for the ubiquitous and home network based experiments
• Home security experiments in utilization of its unattended security function
• Robot Control APl using Visual C++ and control function by Visual Basic Scripter
• Next generation cell (Lithium lon) - compact size and increase in life time
   

ROBOT Assembly Kit Trainer  ED-7271

• The system consists 9 types of sensors, 3 types of motor modules and 4 types of application modules essential for the intelligent robot
• System structure for seizing the essence of artificial intelligence robots
• Enriched examples for the beginning level to an advanced level in the robot class
• Easy to mount modules by the clamping device
• USB high speed(480Mbps) interface
• Extensive learning for the sensors being used in the field of Ubiquitous and Home Network
• Image processing practice using USB Camera
   

Intelligent Robot developement Kit  ED-7273

                         - DC Motor

                         - RC Motor

                         - Sensor (ultrasonic, infrared) control

                         - Image sensor control

                         - Autonomous driving application

OMNI-Directional Mobile Robot  Ed-7275

• Covers overall basic experiments for the mobile robot using a floor detecting sensor and a front area detecting distance sensor
• Offers basic-to-advanced training curriculum on the control of robot using embedded MICOM, 3-axis motor, IR sensor, PSD sensor and Omni-directional wheel
• Uniquely designed mechanism that has employed Omni-directional wheel with the interval in 120o for allowing dynamic movement in all directions
• Five IR sensors mounted to detect a specific color and send the data to Host CPUusing interrupt
• Three PSD sensor mounted as basic shipped components, and capable of combining and mounting additional PSD sensor(2ea), human body detection sensor(1ea) and so on
• Provides related library source to help control the robot using Application program(C language)
• Comes with user manual covering various types of sensor adopted for the intelligent robot
• Four buttons for controlling the robot s hardware and LCD for viewing its status easily
   

5-AXIS ARM ROBOT TRAINER  ED-7255

• Consists of one gripper and 5-axis vertical multi joints
• Absolute-type RVDT Position Sensor applied to each axis and requires no Limit switch

• High performance CPU enables real-time control of each axis

• PlD gain tuning and real-time control
• Emergency switch on the robot controller and teaching pendant
• Control by USB and Ethernet interface
• Expandible 2-axis and digital or analog llO port

• 3D graphic simulation and real-time connectivity with a real robot
  

Banc d’Essai Bras Robotique (Arm Robot Trainer)  35-001-USB

• Contrôle de mouvement précis par un servomoteur DC
• Robot de 5 articulations + doigts
• Arme verticale avec articulations
• Précision de la position : +/- 0.5mm
• Charge maximale : 1Kg
• Intervales de mouvement: 210°, 180°, 230°, 320°,320°
• Controleur du robot :
• System de control 8 bit

Banc d’Essai Bras Robotique Gryphon EC 35-002

• Expandable conveyor
• Infra-red component sensor
• Horizontal gauging unit
• Automatic parts dispenser
• Indexing table
• Work-cell expander box
• Air compressor

• Precision Robot
  • 5 axes + gripper
  • Human arm configuration as widely used in industry
• Shaft encoder feedback
  • 12,000 counts/rev on major axes

Serpent EC 35-004

• 4 axes + gripper

  • With each of the major axes driven by servo motor under closed loopcontrol

• Shaft encoder feedback

  • 12,000 counts/rev on major axes

• Arm length choice

  • Serpent I - 400mm arm for highest accuracy

  • Serpent II - 650mm arm for furthest reach

Copyright ©, E.S.L.I 2011