3D Sensing TOF (Time of Flight ) Product Solution

GIGABYTE provides new innovated 3D sensing product -Time of Flight (ToF) sensor (camera) is a special purpose, economic -cost smart solution with novel 3D imaging capture technology.
3D Sensing TOF Solution
ToF camera includes high-performance advanced depth analytics as a standard feature, improving measurement accuracy and performance. It also gets practical information on whether the third dimension is actually worthwhile for your application and has excellent performance even in the most challenging lighting conditions. Also, TOF is non-privacy, detect object recognition & skeleton.
3D TOF Camera
This 3D TOF device would be perfect to us for various applications from AIOT, AI Robot , Industry 4.0, Automation, Automotive, Smart Retail, Smart Surveillance (I-Fence) to Medical care and aimed to help our customers to do cost-effective way to benefit for their project infrastructure in the future.    To use GIGABYTE TOF 3D sensing solution can help customer's projects to be  more proficiency with budget saving as well as more competition advantage on their business development in future.
Smart Security
GIGABYTE TOF senor is an most effective way for smart security solution, whatever from man power saving and easy to deploy for last mile installation.
Smart Shop
TOF sensor is great benefit to bundle with digital signage. By using TOF to detect consumer's gender, gesture, motion, age then generated into digital signage for further interaction and behavior as well as can have data base to do marketing plan for retail shop.
Medical Care
TOF sensor is non-privacy product and ideal to use for patient monitoring in the hospital or house center. If there will have some abnormal message from patient, the nursing station center can know right away to have on-call service on time.
AI Robot
Artificial Intelligence has long entered our workplace and home. It is used in robotics, where collaborative robots deliver parts and perform repetitive or even dangerous tasks. TOF is essential element to help Robot for advanced object recognition and avoidance whatever from automation, logistic, health /home care...etc.
Best Way To Save For Project Management Budget
GIGABYTE is aimed for trend of new cutting edge technologies and foreseen optimistically about the potential market of machine vision in coming years and also align with current AI computing platform.  This will make the capture performance of 3D image processing and application to be more flexible with time-saving. The most important is using GIGABYTE TOF 3D sensing solution can assist customer’s projects for more proficiency and budget saving as well as more competition advantage on their business development in future.
Best Way To Save For Project Management Budget
This calibration system would help customers to capture 3D depth information to be more accuracy as well as fit with their project requirement precisely. 

GIGABYTE TOF solutions has provided own software development kit tool which was integrated together of the combination of driver, algorithms and calibration based on different main 3D depth sensing chipset in the market. 

Offering dual software OS Window & Linux can be more alternative choice and also based ARM platform to prevent hacker & virus attack.
suitable to Performance, Efficiency
Edging Computing System with real time performance
suitable to Quality, Accuracy
Low Computing System Requirement
suitable to User Friendly, Ease of Use& Lower maintenance requirement
Non-Privacy Issue
suitable to Security, Data Protection
Algorithm Integration
suitable to Reliability, Consistency
Unique Calibration Technology
TOF Product Series
There are four kinds of TOF products  to fit with different project applications from indoor to outdoor. 
1/4
T02-2DX
T02-2DX
TOF, RGB & 320x240 pixel
2/4
T01-NP
T01-NP
TOF Ethernet Version
3/4
M03-U3
M03-U3
TOF USB3.0 VGA 640x480
4/4
E02-U3
E02-U3
Outdoor TOF 320x240 Pixel
Related Technologies
IoT
The Internet of Things (IoT) refers to a network of devices connected to the internet that can record or receive data without requiring any human to machine interaction. These devices can be any kind of physical object in daily life, business or industry – for example, the thermostat in your home, a trash can on the roadside, or a piece of equipment on a factory production line.
Cloud Computing
In simple terms, Cloud Computing is the delivery of computing services to a user or an organization—servers, storage, databases, networking, software, analytics, intelligence and more—over the Internet ("the Cloud"). Cloud Computing is usually provided using virtualization, in where the physical computer hardware is abstracted from the software & applications that are running on that hardware. Cloud Computing services can be provided several different ways, via public, private or hybrid clouds. Public cloud computing is provided by 3rd party service providers (such as Amazon Web Services, Microsoft Azure, or Google Cloud) who own the physical hardware and then sell these resources online via a secure internet connection. In a private cloud, an enterprise builds a cloud within their own data center by running applications on virtual servers that may reside on any number of available physical machines. Hybrid cloud computing is where a mixture of private and public cloud computing services are used together in tandem. As part of RightScale's 2018 State of the Cloud report, an in-depth survey was conducted of 997 IT professionals about their adoption of cloud infrastructure and related technologies, an astonishing 96% of respondents indicated that they run their enterprise's workloads in a cloud – either public, private or hybrid.
Edge Computing
Edge computing is a type of computing network architecture, where computation is moved as close to the source of data as possible, in order to reduce latency and bandwidth use. The aim is to reduce the amount of computing required to be performed in a centralized, remote location (i.e. the “cloud”) far away from the source of the data or the user who requires the result of the computation, thus minimizing the amount of long-distance communication that has to happen between a client and server. Rapid advances in technology allowing for miniaturization and increased density of computing hardware as well as software virtualization have made edge computing more feasible in recent years.Learn More:《What is Edge Computing? Definition and Cases Explained.》
Virtual Machine
A Virtual Machine ("VM") is a software file, referred to as an image or an instance, which exhibits the behavior of a physical computer. Much like a physical computer, the VM runs an operating system and applications, and has its own virtual resources, including CPU, memory, hard drives, network interfaces, and other devices. Each VM's virtual resources are then mapped to the real resources on the physical host computer. A VM gives the end user the same experience as they would on the host itself, and single or multiple VMs can reside on the same host. For servers, multiple VMs run side-by-side with a piece of software called a hypervisor to manage them. The use of VMs to meet computing needs especially on the enterprise side is commonly referred to as virtualization.
Artificial Intelligence
Artificial Intelligence (AI) is a broad branch of computer science. The goal of AI is to create machines that can function intelligently and independently, and that can work and react the same way as humans. To build these abilities, machines and the software & applications that enable them need to derive their intelligence in the same way that humans do – by retaining information and becoming smarter over time. AI is not a new concept – the idea has been in discussion since the 1950s – but it has only become technically feasible to develop and deploy into the real world relatively recently due to advances in technology – such as our ability to now collect and store huge amounts of data that are required for machine learning, and also the rapid increases in processing speeds and computing capabilities which make it possible to process the data collected to train a machine / application and make it "smarter".
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