Manual quality inspection of manufactured products can be repetitive, subjective, and highly prone to human assessment errors. Our state-of-the-art Industrial AI engine enables industries to build and deploy vision and asset analytics AI applications faster, drastically reducing the conceptualization to solution deployment timeline from few months to just few weeks. It comprises of end-to-end Industrial AI pipeline and integrated tools for data acquisition, preparation, labelling and management, secure API development and deployment. The Industrial AI engine learns from historical data and helps to automate the inspection process, removes subjectivity, and eliminates inspection errors. The AI engine can identify defective products, locate product defects (e.g. surface defects, foreign particles, assembly errors, packaging errors), accurately classify defect types and severity levels. It then provides visual feedbacks to the operator or feedback control signals to the automation systems. It can be integrated with wide range of vision hardware systems, and can be deployed on-premise servers, private cloud servers.
We are looking forward to collaborating with B2B customers including industrial automation Original Equipment Manufacturers (OEMs), System Integrators and Companies in manufacturing sector (e.g. food and beverages, semiconductor, biopharmaceutical and automotive).
The Industrial AI engine leverages proprietary state-of-the-art AI technologies to achieve high level of inspection accuracy with a minimal amount of training data, and incrementally learns and improves over time.
AI for High-resolution Data with Fast Inference Speed
Continuous ML/DL Performance Auditing and Learning
Optimized AI Packaging and Integration
Inference speed of AI API (varies based on GPU)
Supports up to 10 parts per second or 600 parts per minute