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Embedded Artificial Intelligence

Driving intelligence at the edge

Embedded artificial intelligence (AI) combines the capabilities of AI algorithms and embedded systems to bring intelligence and decision-making directly to edge devices.

Our technical expertise

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Data

Data management, acquisition, cleaning, synthetic data generation, statistical analysis, and database implementation.

Deep & machine learning model

Deep and machine learning model qualification and statistical validation of results.

Deep & machine learning R&D

Deep and machine learning R&D : state of the art, algorithm selection, implementation and training.

Production

Production rollout and monitoring.

BENEFITS

Real-time decision making

Increased privacy and security

Reduce bandwidth and latency

Energy efficiency

Edge intelligence

Offline functionality

Key sectors 

Key sectors 

Key sectors 

Key sectors 

Key sectors 

Medical

Healthcare diagnostics: AI-powered systems for disease diagnosis, medical image analysis.

Healthcare devices: AI-integrated medical devices for remote patient monitoring, early diagnosis and personalized treatment.

IOT devices

AI algorithms running on IoT devices for real-time data processing, anomaly detection and predictive analysis / running on edge devices for real-time data analysis, reducing latency, cloud dependency, and data protection concerns.

Manufacturing, quality & security control

Industrial automation: AI-based embedded systems to optimize manufacturing processes and quality control / Predictive maintenance: use AI to predict equipment breakdowns and optimize maintenance schedules, reducing downtime and costs.

Autonomous systems

Trucks, drones that can navigate and make decisions in real-world environments.

Robotics

AI integration in robots for autonomous navigation, object recognition and complex tasks in the industrial and service sectors.

Some exemples of our use cases

Real-time quality and trajectory control from video feed on agricultural machines

Real-time automatic image interpretation for feature recognition in agricultural settings

Research and expertise for automatic image and radar data interpretation for drone recognition on airport grounds

Multi-dimensional data acquisition, interpretation, and replication in a simulator, combining video, medical and GPS data sources acquired during exercise

Automatic infrastructure features recognition on aerial photographs

Photorealistic synthetic image data generation to improve deep learning vision algorithms results for precision object recognition in industrial warehouse robots

SLAM research and implementation to enable autonomous fiducial navigation in industrial warehouse robots. 

Deep learning image interpretation for seafood production with embedded cameras to enable remote monitoring shrimp health and automate shrimp food distribution.

Deep learning image interpretation to automatically estimate insect population numbers on photographs in an indoor agricultural setting. 

Enhance camera capabilities, perform real-time vision insights, and deep learning data processing.

Synthetic image data generation to complement existing datasets when data acquisition is time-consuming and/or costly

Deep learning research and algorithm development to automate operator calibration in medical imagery.

Enable no-code automatic programmation for industrial robots by interpreting and copying human operator demonstrations.

Deep learning vision algorithm implementation and training with size and processing power constraints, and installation on micro-controllers for edge computing for test tube and barcode recognition on laboratory automation lines. 

Deep learning image interpretation for production line quality control, assessing proper application and continuity of glue beads. 

Automated packaging design using generative AI tools 

WHO WE ARE

Kickmaker is a design and industrialization partner for high-tech products, assisting startups, SMEs and major corporations from prototype to mass production.

With offices in France, China and the United States, Kickmaker employs over 250 engineers in a wide range of specialties: mechanics, electronics, software, project management, etc.

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