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AI cognitive technology has the capacity to solve complex problems across different industries. However, many companies are hesitant to adopt AI cognitive technologies because of the upfront costs associated with expensive, powerful workstations that can handle the AI models. Traditionally, the accuracy of an AI model depends directly on the available computing power. This means that for solving complex problems with high accuracy, you need to have heavier AI models that consume more computation power and memory.
This is where NSENSE introduces its breakthrough solution.
NSENSE’s ultra-light AI model, developed after years of extensive research, can operate even on edge devices such as mini PCs without losing high accuracy. To achieve this, the company went beyond just algorithmic optimization of AI inference engines to improve the AI model by applying the latest AI technologies, such as quantification, model pruning, and knowledge distillation transfer learning. NSENSE’s ultra-light AI cognitive model can operate using CPU or NPU instead of using the commonly used gaming GPU to infer the AI cognitive model.
NSENSE is driven by the mission to develop technology that makes life easier by researching the N-th senses that go beyond the human senses. To this end, the company has introduced AR technology connecting virtual reality through ‘ARme’ and ‘NVIS’ solutions. In addition, NSENSE’s ‘PTAS’ solution can replace human visual intelligence, especially in the market of CCTV solutions for security surveillance and customer analysis.
The Next Revolution in Facial Recognition Technology
NSENSE offers its AI cognitive technology to clients who need CCTV video analysis. These solutions can be used to identify customer behavior in supermarkets, analyze data, or protect residents’ safety in residential complexes. Generally, these environments require users to explore dozens of CCTVs in real-time, and simultaneously, the high- precision AI cognitive model requires vast computing power. While many companies tried to overcome this by applying multi-GPU technology or using expensive GPUs, they naturally lead to high initial costs.
Unlike Other Solutions That Use Multi-Gpu Technology Or Expensive Gpus, Nsense’s Ai Cognitive Model Analyzes Dozens Of Cctvs In Real-Time In A Cost-Efficient Manner, Without Negatively Impacting The Accuracy
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