Smart Vision
Intelligent computer vision system For smart factory, smart farm and smart citythrough OpenCV and Deep Learning technique in
low cost embedded device.
Smart Vision which was developed by OPENSYSNET’s own technology is intelligent computer vision solution
that can be applied various industry such as smart factory, smart farm, smart city.
Smart Vision is an intelligent solution that can be work quickly and accurately instead of human.
It can be used in various fields like defect detection, component alignment as a part of smart factory.
Our Smart Vision Solution is collaborating with SCARA robot for harvesting tomato, pepper, strawberry as smart farm 4.0 project.
Smart vision box can train and detect any kind of crops based on Baseline Learning and Transfer Learning of deep learning detection model.
OPENSYSNET Smart Vision Box is edge type AI vision box which perform object detection and recognition rapidly
based on LiDAR camera and Deep learning object detection model.
Item | Specification |
---|---|
CPU | Quad-core ARM Cortex-A57 MPCore processor |
GPU | NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores |
Memory | 4 GB 64-bit LPDDR4, 1600MHz 25.6 GB/s |
Storage | 16 GB eMMC 5.1 |
Video Encode | 250MP/sec |
Video Decode | 500MP/sec |
Boot Source | eMMC / USB |
Networking | Gigabit Ethernet, M.2 Key E |
Peripheral Interface | 4x USB 3.0, USB 2.0 Micro-B |
HDMI 2.0 and eDP 1.4 | |
GPIO, I2C, I2S, SPI, UART | |
LiDAR Camera | Ideal Range : 0.25m ~ 9m |
FOV : 70º * 43º | |
Accuracy : 5mm ~ 14mm | |
Frame Rate : 30fps |
Our software can be performing various type of object detection and recognition based on AI deep learning training.
High-Accuracy & High-Speed Detection
Working with Various Robot & Camera
Low Cost for Installing S/W with Camera
Support various platforms such as CPU, GPU and TPU
Machin Vision Solution based on deep learning supports intelligent vision service that provide human’s vision and judgment ability .
Please feel free to contact us if there is any questions.
We will get back to you soon.