The goal of industrial product design is to market products that meet consumer needs, which specifies that the creative behavior of product design should be restricted by the market environment. The further integration of technology, design, and market is developing rapidly, and we need to shift the focus from art and design thinking to a favorable position that encompasses the entire society. The content-based image restoration technology analyzes the image according to the visual attributes and spatial position relationship of the image, such as color, texture, shape, etc., and creates an image feature vector database to reconstruct the image through image feature extraction. Nowadays, multi-core processors are everywhere. Parallel algorithms developed on multi-core CPUs are highly adaptable and can be used in most environments. By using parallel computing on a multi-core CPU, you can make full use of processor resources and improve resources. By improving and optimizing algorithms, parallel processing technology is used to increase the speed of image processing. Sparse image resolution algorithms and aircraft recognition methods use multi-core CPU parallel processing technology to increase processing speed and processing efficiency. Full-featured image search. This system effectively eliminates search restrictions through a function and improves search efficiency and search results. Accuracy. Finally, use the test data set to test the system and further optimize its performance. Combined with typical cases, analyze the close relationship between human vision, hearing, touch, movement, smell, etc. and product safety, and accept and summarize the safety principles of industrial product design.

工业产品设计的目标是将满足消费者需求的产品推向市场，它规定产品设计的创造性行为应受到市场环境的限制。技术、设计、市场的进一步融合正在快速发展，我们需要将关注点从艺术设计思维转移到一个对整个社会有利的位置。基于内容的图像恢复技术根据图像的颜色、纹理、形状等视觉属性和空间位置关系对图像进行分析，创建图像特征向量库，通过图像特征提取重建图像。如今，多核处理器无处不在。在多核 CPU 上开发的并行算法具有很强的适应性，可以在大多数环境中使用。通过在多核CPU上使用并行计算，可以充分利用处理器资源，提升资源。通过改进和优化算法，采用并行处理技术来提高图像处理速度。稀疏图像分辨率算法和飞机识别方法采用多核CPU并行处理技术，提高处理速度和处理效率。功能齐全的图像搜索。该系统通过功能有效地消除了搜索限制，提高了搜索效率和搜索结果。准确性。最后，使用测试数据集对系统进行测试，进一步优化其性能。结合典型案例，分析人类视觉、听觉、触觉、运动、嗅觉等与产品安全的密切关系，