Technology to transform your
images and video streams
How to put the human being at the center
of the decision-making process with AI?
Combining machine learning, computer vision and mainly human.
Machine
Learning
Machine Learning is a data analysis method that automates the construction of analytical models.
This technology allows computer systems to learn, identify patterns and make decisions with minimal human intervention.
An example:
Machine learning detects trends in historical data (eg categories: weapons, vehicles, humans, etc.) to derive a real-time recognition pattern (eg crowd movement).
Computer
Vision
If artificial intelligence or AI allows “computers to think”, computer vision allows them to see, observe and understand.
With it, computers and systems can detect meaningful information from videos and act or make recommendations based on that information.
Result:
Unlike humans, computers don’t get tired. You can train machines powered by computer vision to analyze thousands of video or audio data streams in real time.
In summary:
The combination of these technologies makes it possible to automate the detection of anomalies or incidents and submit them to the human eye to qualify the event in its context.
The human, therefore, remains present to decide. He is “augmented” by these technologies that allow him to focus on the factual and decision-making.
Why?
Because the human operator is still better than machines to manage complex contexts. With the help of Neuroo, he is able to focus even better on managing difficult situations.
Neuroo integrates security modules recommended by ANSSI, the National Agency for Information Systems Security. These components manage authentication, communication encryption, and user rights.
How efficiently?
- Design and development of locally mastered models and algorithms.
- Security and control solutions.
- Cybersecurity with integration of security modules recommended by ANSSI.
Neuroo is cross-platform. It integrates seamlessly with your virtualized infrastructure or cloud.
With what advantages?
- Flexible deployment according to existing architecture.
- Interface with your existing data capture systems.
- Adaptation to any existing platform or VMS.
- Integration of standard and proprietary protocols.
Neuroo solutions integrate into your architecture without a GPU.
We use lightweight and virtualizable servers.
You don’t need any specific hardware.
Our solution is 100% compatible with your virtualized environment.
Neuroo natively integrates the necessary components for application redundancy.
Our apps automatically manage load balancing. They also ensure that all installed modules are maintained in operational condition, including real-time analysis.
With what results?
- Scalability of solutions in any type of environment.
- High Availability :
→ Solution redundancy
→ Maximum fault tolerance
→ Distributed architecture - High model accuracy
How Neuroo integrates with
your infrastructure
Your organization is unique, Neuroo solutions are ultra-flexible
and can be deployed on premise, cloud or hybrid.
Two types of deployment are possible:
Integrated Environment
Standalone Environment
Database
User Management
Application database
Security Database
Analysis modules
Deep learning
Business logic
Image processing
Interpretation of results
Communication module
API & Drivers
Stream player
Verification of operation
Exchange of information between Neuroo modules and third-party systems
How Neuroo serves
your organization
- Perimeter detection (e.g. intrusion, littering)
- Crowd movement detection
- Abandoned object detection
- Grouping detection
- Fire start detection
- Plate reading
- Weapon detection
- Attendance
- Marauding
- Counting