HILO Systems ALL-300G2 High Performance Universal Gang Programmer
The only universal gang programmer that supports UFS devices
New design of high performance hardware provides high speed, high quality parallel programming
Support all types of latest UFS interface devices. The fastest UFS programming speed in the industry
With new integrated design, ALL-300G2 support all types of devices which are already supported on the previous model
Support USB 3.0 Gen 1(5 Gbps) interface to significantly increase the programming speed
Program up to 16 devices simultaneously 1
Fast new device support by request from customer
New generation high performance core
New integrated design
Integrate hardware of previous model programmers,
support all types of devices which are already
supported on the previous models
Supports all types of device including
MCU / MPU, EEPROM, eMMC, eMCP, SPI Memory,
NOR / NAND Flash, FPGA, CPLD, etc…
Support latest UFS interface device
Support UFS device by only changing PACK
Support UFS interface (UFS 2.0, UFS 2.1, UFS 3.0),
support 2 Lane Gear 3 (Rate A / Rate B)
3 times faster than previous model in case of high-density memory such as eMMC and NAND devices
Support wide range of IC types
True universal hardware and software design supports a variety of IC including MCU / MPU, EEPROM, eMMC, eMCP, SPI memory, NOR / NAND flash, FPGA, CPLD, etc…
Support wide range of IC packages
High-quality manufactured socket board greatly extends the lifetime of usage
Support up to 8 socket boards, up to 16 sockets
1 socket per socket board (HD-xxx-xxx2/UHD-xxx-xxx) or 2 sockets per socket board (UHD2-xxx-xxx)
User-friendly and easy to use software
Graphic operating interface
Clearly display of each function in the entire programming procedure
Display details and status of each device during programming
Expansion flexibility for production
Connect up to 8 units of ALL-300G2 to achieve 128 devices programming at same time 2
The ZED Mini is the new generation of depth and motion sensing camera. Optimized for mixed-reality and robotics, the ZED Mini is small and lightweight, features visual-inertial technology for improved motion tracking, new Ultra depth sensing mode and modular design for simpler integration.
The ZED is a camera that reproduces the way human vision works. Using its two “eyes” and through triangulation, the ZED provides a three-dimensional understanding of the scene it observes, allowing your application to become space and motion aware.
The new ZED 2i brings spatial perception to a whole new level. The stereo camera features an all-new mechanical design with new lens options, polarizing filter, secure USB Type-C connector, and more.
MyCobot Pro 320 Pi is an ARM robot with 6 degrees of freedom (6 DOF) that uses a Raspberry Pi mini pc board as its main controller. This robot uses the Debian/Ubuntu operating system and already supports ROS and Roboflow for software development.
MyCobot Pro 320 Pi is very suitable for use as learning robotics, especially ARM robots for hobbyists and academic practitioners for research purposes.
In addition, this robot also works within a 320mm radius with a maximum load of 1kg, so it is very suitable for industrial use to help improve production processes.
This robot can be programmed using Python, C++, C#, and Javascript programming languages. In addition, MyCobot Pro 320 Pi can also be programmed visually using Myblockly so it is very user friendly for school children who are starting to learn visual programming.
Feature :
Using a Raspberry Pi controller that has the largest community in the world
Easy to use
Fully Support Open Source Software such as ROS/Movelt and RoboFlow
myCobot artificial intelligence kit is an entry-level artificial intelligence suite integrating vision, positioning and grabbing, and automatic sorting modules. Based on theLinuxsystem, build a 1:1 simulation model inROS, which can realize the control of the robotic arm through the development of software. It is simple and easy to learn. It can quickly learn the basics of artificial intelligence, inspire innovative thinking, and comprehend the open-source creative culture.
The suit has good scalability and high openness and can be used for multiple purposes. It is easy to use the training platform of colleges and universities, the construction of robotics disciplines, the robotics laboratory, or personal learning and use.
MyCobot 280 Pi 6 DOF Raspberry Pi Cobot Collaborative Robot Artificial Intelligence Kit
MyCobot 280 Pi is an ARM robot with 6 degrees of freedom (6 DOF) that uses a Raspberry Pi mini pc board as its main controller. This robot can be used for AI recognition and learning using ARM robots.
MyCobot 280 Pi uses the Ubuntu operating system in which the Robot Operating System (ROS) is embedded, so it is very suitable for robot learning from the software side.
This robot can be used to move goods from one place to another, for image processing, and so on. This robot supports many programming languages, namely Python, C++, C#, and Javascript.
In addition, this robot can also be programmed using block visual programming, so this robot is also very suitable for school children who are starting to learn robot programming using block programming.
MR6221E UHF RFID Reader base on new generation reader technology platform development which is combine UHF RFID advanced technology and many years reader application base experience. This reader is more stable and can use in various applications.
Multi tag-200pcs/second, single tag2000 times/minute
Reading Range
6 m
Processor
ARM CORTEX M3 100M CPU
Memory
16KB tag data memory
Data Interface
100M Ethernet Interface (TCP/IP)
RS232,RS485, Wiegand 26/34
1 set input and1 set output(TTL),1 set relay
Software SDK
C++
PowerSupply
DC+9V~+15V
Indicators
Buzzer
Environment Rating
IP65
Working Temp.
-20~60℃
Weight
1.5kg
Dimensions
280*280*68.5mm
Certifications
FCC, CE
Color
Gray
Functional Description:
4.1 ISO18000-6C / EPC G2 Tag operation
Reader Support ISO18000-6C, EPC G2 tag, It support Multi tag query, read, write, selection, Single tag read, write, lock, kill
4.2 Working Parameter Setting
User can set the parameter of interface, IP address, Jump Frequency point, output power, reading indication, working mode etc; When in Timing or Trigger mode, can set the parameter of reading card type, read area, address, length, output method, output interface
4.3 Communication Function
Support Ethernet, RS232 and RS485 both-way communication interface, protocol compliant to《UHF RFID reader and PC communication protocol V2.0》;Also reader support Weigand single way data transmission interface, format compliant to Wiegand 26 and Wigand 34 interface protocol
4.4 Off-line working mode
Support timing read or trigger read working mode,all tags in query area can be read according to set address and length,read data direct output. Read data can selected for filtering same tag. Output data interface can be any one of interface or multiple interface,meanwhile can configure relay
4.5 Maintain and update functions
Support web network server function, can set working parameter on Web page, reader also support Serial port and RJ45 port upgrade in the application firmware
Jetson-10-1-A0 Jetson Nano Module M.2 Key E Slot Type-C Power Supply with reComputer Aluminium Case and Pre-installed JetPack System
Jetson 10-1-A0 is a mini computer that uses the NVIDIA Jetson Nano module as its main processing. This mini computer is very powerful for daily use and for AI activities even for data processing using Deep Learning with AI performance up to 0.5 TFLOPs (FP16).
This mini computer has been installed with System Jetpack 4.6 which already has NVIDIA Container Runtime which is integrated with Docker so that it can be directly accessed in headless mode.
This mini computer also uses CUDA technology so that this mini computer can perform parallel computing efficiently. In addition to being powerful for AI, this mini computer can be used for Robot Operating System (ROS) in the development of robotics in terms of software.
Feature :
Using NVIDIA Jetson Nano Module
Menggunakan Quad-core ARM Cortex-A57 MPCore Processor
Menggunakan 128-core NVIDIA Maxwell GPU with 128 NVIDIA Cuda cores delivers 0.5 TFLOPs (FP16)
Equipped with Many Peripheral Ports
Very Powerful Used for AI & Deep Learning Needs
Application :
Robotics Intelligent Control
Data Processing with AI Frameworks such as TensorFlow and so on
For Autonomous Car Prototype
Penerapan Classification Image dan Regression
Image Image Processing
And so on
NVIDIA Jetson Nano Module Specifications:
GPU : NVIDIA Maxwell Architecure with 128 NVIDIA CUDA cores 0.5 TFLOPs (FP16)