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With DavinSy, the transfer of learning to the terminal becomes possible. This opens a whole new range of professional applications and helps boost the cost effectiveness and performance of today’s low power electronic systems.

INDUSTRY 4.0

Limitations of current AI-based quality control solutions

• Current solutions suffer from their inability to adapt to the constantly changing conditions encountered in factory plants. Based on iterative backpropagation learning algorithms, the lifecycle of the models is too slow to keep pace with the rhythm of environmental changes. 
• Similarly, successful proof of concepts on one machine are often not replicated when deploying across the entire inventory.
• Furthermore, model maintenance often relies on heavy cloud infrastructure and expensive, and rare hardware accelerators. The necessity of model maintenance is frequently realized too late, and the accompanying hidden costs weigh heavily on return on investment, making such solutions unsustainable.
• Finally, manufacturers, become very dependent from external expertise and resources. This weakens them, putting them at the mercy of decisions they do not control.

Benefits of iDetect-4.0

• iDetect-4.0 relies on DavinSy agents. Thus it is very agile and can adapt, with the active help from the operators, in real time to any environmental change.
• This same capability enables the deployment of successful PoCs on other machines. After a brief learning period, the new instance will be as efficient as the original one.
• Everything is done locally on a standard PC (no need for a GPU) and can be managed through a simple interface by the quality team or experienced operators.
• Manufacturers retain control of the software. They can configure it autonomously through Maestro. They can generate as many instances of iDetect-4.0 as needed.

PERSONALIZED VOICE/SOUND-CONTROL

Limitations of current AI-based voice control solutions

• Poor performances in real conditions due to variability (multi-languages, accents, technical jargon, etc.)
• Limited durability of AI model due to lack of real data used for training
• Generic training, no customization questioning fairness and confidentiality
• Still insecure due to cloud dependencies.

Benefits of DavinSy Voice

• Unique continuous learning features keeping performance always up to date
• Unique concept of virtual models extending the durability of the model to the lifetime of the product, and simplifying maintenance
• Unique hyper-miniaturization footprint and collaborative AI enabling DavinSy to be delivered to Edge devices and beyond
• Unique reinforcement learning feature allowing for customization and supporting all languages ​​while maintaining privacy
• Easy deployment of the same product everywhere in the world
• Secured by voice biometric identification of the speaker, a personalized keyword and a local database
• Better real-time inference and learning with guaranteed low latency thanks to DavinSy’s cloud-free algorithm

PRECISE MOTION-CONTROL

Limitations of current AI-based motion control solutions

• Poor real-world performances due to the complexity of building an exhaustive training dataset
• Model drift due to high variability of the captured real live data
• Increasing data volume and complex network optimization methodologies requiring cloud-based high performance computing solutions
• Generic complex models imposing a vicious endless loop between overfitting, more data to avoid overfitting, addition of new network parameters to account for the new data variabilities, and the new parameters needing optimization
• Reduced autonomy due to dependence on the cloud (white area)

Benefits of DavinSy

• Unique continuous learning feature from environmental variations for advanced failure anticipation
• Unique Virtual Model concept avoiding the problem of static models drift over time
• Unique hyper-miniaturized footprint extending runtime for battery-powered applications
• Reinforcement learning increasing the intelligence of voice control systems
• Better loyalty and confidentiality of data guaranteed by the locality of the treatments
• AI engine managing multi-model and multi-modal architectures allowing intelligence to be distributed over several connected devices
• Minimal latency on both learning and inference thanks to full cloud independence

SECURED OPERATIONS-CONTROL

Limitations of current AI-based operations solutions

• Poor real-world performance due to data variabilities
• Poor rejection of unknown classes (impostors)
• Cloud dependencies and related privacy issues due to necessary data mirroring between cloud and edge

Benefits of DavinSy

• Unique mathematical algorithm immediately blocking intruders or unusual events
• Unique virtual model concept adapting real-time security level to unexpected behaviour
• Hyper-miniaturized footprint of the algorithm making it possible to distribute DavinSy over all terminals and reinforcing the least resistant access point
• Total cloud-free autonomy allowing for rapid training, model adaptation and increased safety

UPDATED SENSORS CALIBRATION

Limitations of the current AI based Voice-control solutions

• Poor performances in real life conditions due to complexity to learn from the real live data
• Data augmentation and network optimization methodologies leading to necessary high computing power unsuitable with battery operated systems
• Raw database and models size exceeding the available resources of connected devices

Benefits of DavinSy

• Learning from nominal usage permitting the imputation of missing measurements for failling sensors 
• Unique virtual models concept extending the durability of the model to product life
• Unique hyper-miniaturization footprint securing longer autonomy on battery operated applications
• Unique reinforcement learning feature accounting for the specificities of the chain of components
• Autonomous processing and local database for increased safety and accuracy in failure detection 
• Real-time learning and inferences thanks to DavinSy cloudless algorithm