Sciotex, an industrial AI and automation company that works with manufacturing, scientific, aerospace, biomedical, and research industry clients, has developed a new range of AI-enabled machine vision systems. These are being built and deployed to help manufacturers automate repetitive quality inspection, counting, sorting, classification, defect detection, and presence-detection tasks.
Given the ever-increasing pressure for manufacturers to improve their throughput and reduce manual inspection burdens while strengthening quality control, Sciotex aims to support companies with AI machine vision machines designed for practical industrial use. Their manufacturing AI consulting and systems development services combine computer vision, machine learning, custom software, and deployment support to help manufacturers modernize their inspection and automation workflows.
With an expertise in mechanical design, electronics engineering, and the software underpinning it, the company’s AI image analysis capabilities include counting, sorting, classification, defect detection, and presence detection, with image acquisition ranging from microscopic to telescopic applications. Their design-first development approach helps clients visualize systems and how they work during concept, prototype, deployment, and support phases. As such, the implementation risk for complex automation projects can be significantly reduced.
Sciolex’s AI-powered industrial inspection and automation solutions are developed for manufacturers in need of reliable, repeatable performance, especially where inspection and counting need to happen close to production equipment. By pairing AI algorithms with industrial imaging and automation hardware, the team can help companies move from inconsistent or inefficient manual processes towards more scalable, data-driven operations.
These services can be especially helpful for manufacturers that rely on high-volume inspection, with Sciotex able to provide AI-powered counting machines, benchtop inspection, conveyor inspection, robotic inspection, pallet inspection systems, and more.
The introduction of smart AI-enabled systems allows representatives a major shift in the use of imaging technology for precision, quality control, analysis, and automation. By integrating industrial AI architectures, computer vision algorithms, machine learning, and image analysis techniques, Sciotex is able to help clients improve their manufacturing and research operations across the board.
With over 30 years of experience in developing software solutions using AI and proprietary software models, Sciotex provides full-service in-house software development, along with mechanical and electronics design engineering and assembly capabilities. The team prides itself on identifying how emerging technologies are able to assist the manufacturing process, and encourages manufacturers interested in AI-powered and automated inspection to get in touch for a free AI systems consultation.
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