以下文章来源于硬氪 ，作者欧雪 硬氪 . 深知未来成立于2017年，主要技术壁垒为通过全链路神经网络化的AI ISP技术体系，使普通可见光视觉传感器在夜间实现图像的全彩、高清、实时呈现。 整体来看，目前公司已建立三大产品线：光遇系列-无人机载荷、极星系列-手持影像设备、铁视系列-模组产品。公司首款产品于2022年7月正式发布，已经 连续三年实现销售额200%以上的高速增长。 此前，深知未来已成功推出了适配工业无人机的挂载夜视相机、手持夜视相机及观测镜等产品。而目前，汽车领域成为公司最重要的战略增长引擎，公司已 经与数家国内一线主机厂商展开合作。 专注全球化、硬科技报道。36kr旗下官方账号。 智能汽车将会成为未来AI算法的最大载体。 文 ｜ 欧雪 编辑 ｜ 袁斯来 来源｜ 硬氪（ID：south_36kr） 封面来源 ｜ 企业供图 硬氪获悉，"深知未来"的复杂光线AI计算成像引擎已经随广汽高端旗舰车型昊铂HL量产发布。未来有望拓展到广汽十余款不同的车型。 "2025年是智能驾驶的寒武纪，各种整车智能化技术纷纷爆发。智能汽车将会成为未来AI算法的最大载体。进入这一领域的门槛极高，但进入之后公司的成 长性也会远超 ...

Core Viewpoint - The company "Deep Knowledge Future" has launched its complex light AI imaging engine in collaboration with GAC's high-end flagship model, the Haobo HL, and plans to expand this technology to over ten different models in the future [1]. Company Overview - Deep Knowledge Future was established in 2017 and has developed a neural network-based AI ISP technology that enables ordinary visible light sensors to present full-color, high-definition images in real-time at night [1]. - The company has established three main product lines: the Light Encounter series for drone payloads, the Polar Star series for handheld imaging devices, and the Iron Vision series for module products [1]. - The first product was launched in July 2022, achieving over 200% sales growth for three consecutive years [1]. Strategic Growth in Automotive Sector - The automotive sector has become the most important strategic growth engine for the company, with collaborations established with several leading domestic manufacturers [3]. - The founder of the company, Zhang Qining, emphasized that 2025 will be a pivotal year for intelligent driving, with various vehicle intelligence technologies emerging [3]. - The company is experiencing increased interest from major automotive manufacturers seeking collaboration following the announcement with GAC Group [3]. Technological Advancements - The AI imaging engine is expected to address the limitations of current camera systems in autonomous driving, which are still at L1 level, while the autonomous driving technology has reached L3 level [3]. - Traditional ISP algorithms are based on manual rules, resulting in poor image quality in complex light scenarios, whereas the new AI imaging technology simulates human visual processing and can continuously evolve to meet the demands of intelligent driving algorithms [4][6]. - The company is currently the only global entity to achieve a commercial closed loop for vehicle-grade full-process neural network AI imaging engines [6]. Financial Outlook - Due to significant growth in the automotive sector, the company is projected to become the first AI imaging company to achieve profitability in the AI ISP field this year [6].