There are many scenarios where physical, human inspection of assets is impractical, or where monitoring by video or camera produces data that cannot be usefully interpreted. CGI Machine Vision services and solutions work to change the economics of visual (physical or traditional sensor-based) inspection.
CGI Machine Vision can replace periodic manual inspection with continuous automatic analysis that can free up the staff performing monitoring to do more value-adding work and increase the rate of coverage by many times. In addition to monitoring fixed assets, CGI Machine Vision can also be applied to interpret vision data from traffic and crowd scenarios.
CGI Machine Vision provides a new source of business intelligence enabling a proactive approach to solving a wide range of operational challenges.
CGI’s Machine Vision solution is a combination of:
- vision capture or other sensors (Internet of Things (IoT)) producing data,
- at the point-of-capture ‘edge compute’ generative AI processing, and
- analysis which draws on AI and Machine Learning to interpret photos and videos in a human-like way, in fact exceeding the capabilities of a ‘naked’ human eye
- integration of the processed information into data operations.
CGI Machine Vision solutions can be applied in any industry, adding value to a wide range of scenarios. Anywhere that photos or videos are performing monitoring, CGI Machine Vision’s artificial intelligence vision analysis can help.
A CGI Machine Vision solution can be tailored to many different scenarios. Our CGI Machine Vision platform can be deployed on a range of embedded Internet of Things (IoT) devices where image data is being captured. We have experience extracting information from a range of sources including:
- Edge compute board with attached camera
- CCTV
- Cameras and surveillance equipment
- Drones
- Thermal Cameras
- Ultrasonic sensors
- High speed cameras
- Night vision recording devices
The images are processed by a Graphical Processing Unit (GPU) that is at the site where the recording is being captured (‘edge computing’, or edge AI) using Artificial Intelligence – generative and deep learning models. CGI can supply GPUs as part of your solution, including, where appropriate, solar panels to provide an off-the-grid or carbon neutral solution.
The encrypted processed data is then sent via our secure cloud hub. The CGI Machine Vision edge-compute processing solves the issues of data transmission delay and bandwidth concerns. Only the relevant, processed information is pushed to data operations, providing you with real-time data analysis tailored to your project objectives.
We can network many devices together to monitor all kinds of operations, from wastewater treatment plants and smart water meters to supporting entire Smart Cities or remote infrastructure. By combining these devices, we can ensure that all key infrastructure (for example sewers, bin collections, and other citizen services) run efficiently and effectively.
For businesses leveraging CGI Machine Vision’s artificial intelligence analysis, real-time responses become possible, enabling the adoption of predictive and proactive operational models. Asset resilience and availability is enhanced, and sustainability, safety, and regulatory compliance are also significantly improved.
Machine Vision can:
- Increase data quality by improving the velocity, accuracy, efficacy, and efficiency of visual inspection
- Increase the availability and speed of real-time data analysis
- Reduce latency of sending image and video streams to the cloud
- Reduce cloud storage and data transfer costs incurred sending data to the cloud for analysis
- Capture more data points, more frequently, without increasing the cost of data
- Deploy always-on, automated solutions that are not dependent on human resources
- Implement use cases, previously impractical and/or impossible
CGI Machine Vision can be applied anywhere where vision data is being captured. Here are some scenarios we are currently working with our clients on where the proactive alarming provided by the CGI Machine Vision solution is reducing operational costs, ensuring regulatory compliance and improving safety.
Edge computing is a distributed computing paradigm that brings computational processing and data storage closer to the location where it is needed, which is typically at or near the "edge" of a network. In contrast to traditional cloud computing, where data and processing are centralized in remote data centers, edge computing pushes these capabilities to the periphery of the network, closer to the data source or end-user device.
Deploying local Graphical Processing Units (GPU) results in:
A digital twin is a virtual representation of a physical object, system, or process. It is a digital counterpart that mirrors the physical entity in a digital form, providing a real-time or near-real-time reflection of its status, behavior, and performance.
CGI Machine Vision uses a digital twin first philosophy. Data is captured and then securely and efficiently synchronized, from the point of capture to a live digital model.
Security is core to Machine Vision including Secure Boot on devices, signed boot files, encrypted file systems and integrated OOTA updates.
Machine Vision has been designed with the principles of Secure-by-Design and Secure-by-Default.
Our Machine Vision technology partners include:
