Founded in November 2017, Nebula AI is a global Artificial Intelligence of Things (AIoT) solution provider based in Montreal. We are dedicated to applying the world's leading AI cloud technology to the field of internet of things, offering turnkey AIoT solutions to Healthcare, public transportation and mining industries. Nebula AI’s solutions and services can significantly enhance sensitive data protection, reduce the cost of machine learning training, effectively shorten the deployment time, and eliminate the performance and expansion bottlenecks of hybrid-cloud infrastructure scaling. We are helping to keep businesses online and scale up every day.
Through our AI deep learning model, we improved the accuracy of recognition to above 99%, which far surpasses the accuracy of the traditional algorithm. We incoporated AI solution based on DNN, customized object detection technology, precise positioning, transformer-OCRT tech, and self-attention mechanisms in the process of recognition of optical character, all together efficiently reduced the false positive.
Powered by NBAI Smart Manufacturing, our visual inspection, and quality testing system is equipped to detect 24+ defects from more than 20 kinds of floor tiles with different colors and grains. It highly increases the accuracy of recognition and enables defect classification.
Powered by NBAI Smart Manufacturing, our visual inspection, and quality testing system is equipped to detect 24+ defects from more than 20 kinds of floor tiles with different colors and grains. It highly increases the accuracy of recognition and enables defect classification.
Driver Fatigue Monitoring System, based on facial feature recognition, collects the driver’s facial images and head postures through the camera and compares them with various abnormal driving behavior models in the database to identify the current driver's status.
Features
1. Detect and alarm driver unsafe behaviors: fatigue detection,
distraction detection, phone call detection, smoking detection, no driver detection;
2. Driver identification;
3. Real time alarm and video uploading for abnormal driving behavior;
4. With built-in high definition alarm recording;
5. With built-in infrared light, driver status can be effectively detected with low light
conditions.
We leverage over 100TB medical data sets of 16-year patient records and advanced artificial intelligence technology to help doctors get access to faster and more accurate preliminary diagnosis for the brain tumors, to predict the appearance of seizures and provide smart alerts for patient video monitoring system.
By jointly developing a shared neural representation between EEG records and patient behavior videos, our multimodal model is equipped to achieve better performance by leveraging information from multiple sources.
Our AI cloud solution empowered our client to develop an analysis system that detects 8 body parts with 4 diseases and abnormalities, including Knee arthritis, Bone hyperplasia, Ulnar fracture and Tibialscrew. Our deep residual convolutional neural network model has 169 layers. The accuracy rate of recall rate is above 92.9%.
Our AI dermatoscope provides services for dermatologists and telemedicine
platforms:
1. Observation of skin lesions
2. Image store and online transport
3. Intelligent labeling and automated report
4. Electronic medical record management
5. Telemedicine diagnostic support
Nebula AI and Informatique Athensoft formed strategic cooperation in the field of artificial intelligence education. We provide Notebook and related support for data science, artificial intelligence, AI educational robotics, Python programming and application development, Java and enterprise application development, system architecture, and software engineering classes. Our products and services deliver significant savings in infrastructure costs and efficient classroom instruction.
Nebula AI teamed up with Dr. Thomas Fevens of Concordia University to establish and promote a big data deep learning program for medical imaging. Using the NBAI Cloud Platform for research in areas of cancer malignancy classification using cytological and histopathological imagery, clinical image segmentation, and applying deep learning to medical imaging problems.
Research projects in collaboration with computational genomics laboratories are in the testing phase, and researchers use the NBAI cloud platform to perform AI training tasks. Avoiding the large time and economic costs of waiting for public computing resources.
• Providing a variety of solutions and rich resources together with a wide array of AI cloud products
• Using distributed ledger technology with decentralized ID system for GPU servers
• Boost data center management efficiency by quickly launching node and swiftly deploy new data center, provide low latency among centers
• Using multi-data center bidding model, enterprise resource sharing technology and container-based GPU timeshare to reduce cost by 70%
• Using blockchain technology to protect data ownership, prevent fraud and data theft
• Using smart contract-based technology for machine learning task processing and transparent credit system