Abstract: Livestock and poultry processing can often include the slaughtering, cutting, and deep processing into meat products for consumption. Among them, cutting is a pivotal step to determine the shape, quality, and taste of the meat, in order to significantly promote the added value and market competitiveness of the products. Intelligent cutting technology has been gradually used in the field of livestock and poultry processing in recent years, particularly with the development of intelligent technologies, such as artificial intelligence and machine vision. Production efficiency can be expected to enhance product quality with low labor intensity. This review aims to summarize the research advance on intelligent cutting technologies for livestock and poultry processing. Firstly, the current state was reviewed in the research of machine vision, tactile sensing, virtual reality (VR), and computed tomography (CT) in livestock and poultry processing. Each technology contributed uniquely to the precision, efficiency, and quality control. Machine vision was used to precisely and rapidly identify and classify meat cuts, especially for high consistency and quality. Tactile sensing technology was used to detect the physical properties, such as texture and firmness, which were critical for the quality assessment. VR technology was used to offer immersive training environments for workers to improve skill acquisition and operational efficiency. CT technology was to provide detailed imaging for accurate cutting and grading, in order to reduce waste and increase yield. The meat factory unit integrated these technologies into a cohesive system, streamlining operations and maximizing productivity. Some challenges still remained in the field behind these advancements. One major challenge was to integrate these diverse technologies into a seamless automated system, in order to operate under the demanding conditions of meat processing environments with robust hardware. Additionally, standardized protocols and practices were required to ensure the compatibility and interoperability among different systems and technologies. Several solutions were then proposed to develop more advanced machine learning for the high accuracy and efficiency of automated systems. The research and development were invested to enhance the durability and reliability of hardware. The industry-wide standards and best practices were required to establish for the technology integration. Collaboration was also required among researchers, industry stakeholders, and regulatory bodies. Looking ahead, the production efficiency can be improved to ensure food safety, and then enhance the industrial competitiveness in the development trend of intelligent cutting technology for livestock and poultry processing. The continuous evolution of intelligent technologies can also be expected to drive the industry towards greater automation and precision, leading to more sustainable and efficient processing. The findings can provide a comprehensive reference and insights into the current state and future directions of intelligent livestock and poultry processing. The livestock and poultry processing industry can achieve significant advancements, in terms of productivity, quality, and sustainability under intelligent technologies. This progression can also contribute to the broader societal goals of food security and resource efficiency. Therefore, intelligent cutting technologies can be realized to promote the development of intelligence, efficiency, and sustainability in livestock and poultry processing.