
iG500
Overview
The iG500 offers machine learning at the edge. The system has been designed based on NVidia TX2 SoM (System on Module). Jetson TX2 is the fastest, most power-efficient embedded AI computing device. This 7.5-watt supercomputer on a module brings true AI computing at the edge. It’s built around an NVIDIA Pascal™-family GPU and loaded with 8 GB of memory and 59.7 GB/s of memory bandwidth.

iG500 offers unique opportunity to apply already trained models at the edge to perform inference at the edge. It can be used for Image recognition and classification, objection and localization, segmentation and free space visualization, complex event processing. We designed the iG500 with industrial standard DIN rail enclosure with 6 Port ether switch for connecting sensors and cameras and 2 SFP module for uplinks. Failover DC power supply units are provided for high availability.
Specifications
CPU | ARM Cortex-A57 (quad-core) @ 2GHz + NVIDIA Denver2 (dual-core) @ 2GHz |
GPU | 256-core Pascal @ 1300MHz |
Memory | 8GB 128-bit LPDDR4 @ 1866Mhz | 59.7 GB/s |
Storage | 32GB eMMC 5.1 |
Encoder | 4Kp60, (3x) 4Kp30, (8x) 1080p30 |
Decoder | (2x) 4Kp60 |
Display | 2x HDMI 2.0 / DP 1.2 / eDP 1.2 | 2x MIPI DSI |
Wireless | 802.11a/b/g/n/ac 2×2 867Mbps | Bluetooth 4.1 |
Ethernet | 6 port 10/100/1000 BASE-T Ethernet and 2 Fiber optic option |
USB | USB 3.0 + USB 2.0 |
CAN | Dual CAN bus controller |
RS 485 | High speed serial port for connecting RS 485 compliant sensors |
Thermals | -25°C to 80°C |
Power | 10.5W |
Use cases
iG500 is a general purpose deep learning machine at the edge which has complete machine learning pipeline for mission critical IoT setup.
iG500 ingest signals from cameras, LIDARs, ultrasonic, RF or analog to digital converters and decode them and
apply any machine learning / deep learning algorithm such as Caffe, Torch, TensorRT or TensorFow . After computing machine learning algorithm it can show the display of the image processing or provide signal to an actuators or connect to other systems in the NybSys IoT product portfolio.
Typical use case of this system is in mass public transit system, farming and agriculture system, smart city and traffic control system, industrial automation, manufacturing flow control system, retail theft detection system, object classification and movement detection system for warehouse etc. There are five key benefits of this system are:
Latency
Bandwidth
Privacy
Availability
Ordering Informations
Part Number | Description |
---|---|
iG500-GW-A1 | Internet of Things (IoT) Gateway, iG500 Express Model |
For More Information
For more information about iG500 products, please contact us sales@nybsys.com