Investment Rating - The report maintains a "Buy" rating for the company [31]. Core Viewpoints - The company has successfully turned around its losses in 2023, with revenue reaching 1.699 billion yuan, a year-on-year increase of 22.80%, and a net profit of 102 million yuan, up 169.54% year-on-year. The first quarter of 2024 shows continued growth with revenue of 502 million yuan, a 37.19% increase, and a net profit of 53 million yuan, up 120.74% year-on-year [31][18]. - The recovery in domestic and international market demand is contributing positively to the company's business, which is closely related to the macroeconomic environment. The company is gradually emerging from previous operational challenges faced since its IPO in 2019 [2][18]. - The company is expected to benefit from emerging technologies such as AI, V2X, and 5G, which are driving the development of vehicle-mounted video monitoring systems, transitioning from passive defense to proactive prevention [18][19]. Summary by Sections Financial Performance - In 2023, the company achieved a gross margin increase of 4.20 percentage points year-on-year, with specific segments showing improvements: comprehensive monitoring information systems up 3.44 percentage points and general monitoring products up 6.12 percentage points. The first quarter of 2024 also saw a gross margin increase of 0.71 percentage points and a net margin increase of 3.75 percentage points [33][31]. - The forecast for net profit from 2024 to 2026 is projected to be 204 million yuan, 295 million yuan, and 416 million yuan respectively, indicating year-on-year growth rates of 100%, 44%, and 41% [18][31]. Business Development - The company is focusing on expanding its overseas business, which currently constitutes a significant portion of its revenue. However, there are concerns that if international market demand does not recover as expected, it could negatively impact the company's performance [23][5]. - The company is also implementing a stock option incentive plan for 146 employees, with a strike price set at 21.12 yuan, which is expected to enhance employee motivation and support future growth [17][18].

到机构投资者朋友们参加我们天峰计算机团队组织的瑞铭技术的年报和一级报的业绩交流会我是本次会议的主持人天峰计算机团队的首席廖生军今天我们也非常荣幸的邀请到了瑞铭技术的董秘孙英总孙总就瑞铭技术的年报情况一级度的业绩情况以及今年全年的展望和大家进行的分享和交流今天一同主持会议的还有我们团队的浦宇 那昨天晚上的话瑞明技术也是正式发布了公司的年报和一季度情况公司的业绩尤其是一季度的业绩应该说是大大超出了这个市场的预期和我们的预期公司在一季度的话实现了一个收入的一个高速增长和利润的一个这个三位数以上的一个高速增长那我认为这跟公司多年在海外的布局也有非常这个深刻的一个关系那在整个出海的一个大背景下我们在 天鹏计算机团队在此前的话也是强调软件出海是值得大家去关注的一个方向核心的标的其实很多都集中在深圳包括像瑞铭道通最近我们也都有反复的强调具体就瑞铭技术的年报和一级报情况以及大家关心的问题我们下面把时间交给孙总 好的好的,非常感谢大家来关注人民技术我把那个23年度和今年QE的业绩情况给大家做一下简单的那个书名吧 二三年在席卷全球的客观活力因素全面褪去情况下国内外经济相继进入常规发展轨道公司所在的商人车行业是国内及海外都在大力发 ...

深圳市锐明技术股份有限公司减值测试事宜涉及的并购深圳民太安智能科技有限公司所形成的 含商誉资产组组合的可收回金额 · 资产评估报告 本报告依据相关会计准则及中国资产评估准则编制 深圳市锐明技术股份有限公司减值测试涉及的 并购深圳民太安智能科技有限公司 一站式商用车智能风控服务与保险服务解决方案业务 所形成的含商誉资产组可收回金额 资产评估报告 深中为评报字[2024]第 17 号 (共一册 第一册) 深圳中为资产评估房地产业雕舫处事务所(有限合伙) I 00 中国资产评估协会 资产评估业务报告备案回执 说明:报告备案回执仅证明此报告已在业务报备管理系统进行了备案,不作为 协会对该报告认证、认可的依据,也不作为资产评估机构及其签字资产评估专 业人员免除相关法律责任的依据。 备案回执生成日期:2024年04月23日 00 报告编码: 4747180016202400023 合同编号: 中为评估委托合同(2024)第010号 报告类型: 非法定评估业务资产评估报告 报告文号: 深中为评报字[2024]第17号 深圳市锐明技术股份有限公司减值测试涉及的并购 深圳民大安智能科技有限公司一站式商用车智能风 报告名称: 控 ...

深圳市锐明技术股份有限公司 关于 2024 年度日常关联交易预计的公告 本公司及董事会全体成员保证信息披露的内容真实、准确、完整，没有虚 假记载、误导性陈述或重大遗漏。 一、日常关联交易基本情况 证券代码：002970 证券简称：锐明技术 公告编号：2024-014 （一）日常关联交易概述 根据生产经营需要，深圳市锐明技术股份有限公司（以下简称"公司"）（含控股子公司）预 计 2024 年度将与关联方深圳市锐明智观数科有限公司发生关联交易。2024 年公司预计日常关联 交易金额为 2,600.00 万元，2023 年度公司实际发生的日常关联交易金额为 644.57 万元。 公司于2024年4月22日召开第三届董事会第二十四次会议、第三届监事会第二十三次会议， 审议通过了《关于 2024 年度日常关联交易预计的议案》，根据《深圳市锐明技术股份有限公司章 程》（以下简称"《公司章程》"）、公司《关联交易管理制度》和《深圳证券交易所股票上市规则》 等规定，公司关联董事赵志坚先生回避了对本议案的表决，本议案无需提交股东大会审议。 （二）预计 2024 年度日常关联交易类别和金额 2024 年度拟发生日常关联交易情况如 ...

证券代码:002970 证券简称:锐明技术 公告编号:2024-025 深圳市锐明技术股份有限公司 关于举行 2023 年度业绩说明会的公告 本公司及董事会全体成员保证信息披露内容的真实、准确和完整，没有虚假 记载、误导性陈述或重大遗漏。 深圳市锐明技术股份有限公司（以下简称"公司"）将于 2024 年 5 月 7 日 （星期二）举行 2023 年度业绩说明会，使广大投资者更全面深入地了解本公司 2023 年度及 2024 年第一季度业绩和经营情况。本次业绩说明会相关情况如下： 一、业绩说明会类型 业绩说明会通过线上会议与现场会议相结合的方式召开，本公司将针对 2023 年度及 2024 年第一季度业绩和经营情况与投资者进行交流，并对投资者 普遍关注的问题进行回答。 二、业绩说明会召开的时间、方式 （一）会议召开时间：2024 年 5 月 7 日（星期二）16:00-17:30 会议地点：广东省深圳市南山区学苑大道 1001 号南山智园 B1 栋 16 楼报 告厅。 1 三、参会嘉宾 （二）会议召开方式：线上会议与现场会议相结合的方式 （三）线上参会方式: 电脑端参会：网址 https://s.comein. ...

本公司及董事会全体成员保证信息披露的内容真实、准确、完整，没有虚 假记载、误导性陈述或重大遗漏。 一、召开会议的基本情况 1、股东大会届次：2023 年年度股东大会 2、召集人：公司董事会 3、会议召开的合法、合规性： 证券代码：002970 证券简称：锐明技术 公告编号：2024-026 深圳市锐明技术股份有限公司 关于召开公司 2023 年年度股东大会的通知 （1）本次股东大会召开符合《中华人民共和国公司法》（以下简称"《公司 法》"）、《中华人民共和国证券法》、《深圳证券交易所股票上市规则》等有关 法律、行政法规、部门规章、规范性文件和《深圳市锐明技术股份有限公司章程》 （以下简称"《公司章程》"）的有关规定。 （2）公司第三届董事会第二十四次会议于 2024 年 4 月 22 日召开，审议通 过了《关于提请召开公司 2023 年年度股东大会的议案》。 4、股东大会现场会议召开时间： （1）现场会议：2024 年 5 月 14 日（星期二）下午 15:30 开始（参加现场会 议的股东请于会前 15 分钟到达开会地点，办理登记手续）。 （2）网络投票时间：通过深圳证券交易所交易系统进行网络投票的具体时 间 ...

Overseas Market Expansion and Risks - Overseas revenue accounted for 59.38% of the company's main business revenue, with a significant portion settled in USD, exposing the company to exchange rate fluctuation risks[14] - The company plans to strengthen its overseas market expansion, including channels, talent, and organizational capabilities, to ensure sustained and stable growth in overseas markets[8] - The company is exposed to risks from US-China trade friction, which could impact its sales and profitability in the US market[10] - The company's supply chain could be affected by worsening global geopolitical conditions if it fails to establish a diversified supply chain management model[15] R&D and Technological Innovation - The company plans to increase investment in foundational R&D areas such as large models, optics, hardware reliability, big data, and functional safety to build technological competitiveness[5] - The company has built a mature "1+3" R&D platform, focusing on hardware design, AI, HD video, big data, and autonomous driving technologies[87] - The company's embedded software R&D platform is divided into three layers: basic software, industry standard software, and industry custom software[88] - The company's AI three-tier R&D architecture includes deployment, model, and application layers, enabling efficient and flexible AI algorithm deployment across various chips[110] - The company has developed unique visual algorithms such as target detection and segmentation, optimized for low power consumption and high accuracy[110] Financial Performance - Revenue for 2023 reached 1.699 billion yuan, a 22.80% increase compared to 2022[33] - Net profit attributable to shareholders in 2023 was 101.94 million yuan, a significant increase of 169.54% from a loss of 146.62 million yuan in 2022[33] - Operating cash flow for 2023 was 317.65 million yuan, up 15.25% from 2022[33] - Total assets at the end of 2023 were 2.328 billion yuan, a 16.12% increase from 2022[34] - Net assets attributable to shareholders at the end of 2023 were 1.415 billion yuan, a 4.01% increase from 2022[34] - Basic earnings per share for 2023 were 0.59 yuan, a 169.41% increase from -0.85 yuan in 2022[33] - Weighted average return on equity for 2023 was 7.46%, a significant improvement from -10.24% in 2022[33] - Revenue in Q4 2023 was 463.15 million yuan, the highest among all quarters[38] - Net profit attributable to shareholders in Q2 2023 was 36.29 million yuan, the highest among all quarters[38] - Operating cash flow in Q4 2023 was 95.96 million yuan, the highest among all quarters[38] Market and Industry Trends - The company's industry is driven by advancements in communication, video, big data, and AI technologies, leading to a new era of intelligent safety management[45] - China has implemented policies requiring the installation of intelligent video monitoring and alarm systems in commercial vehicles to enhance safety[46] - Global commercial vehicle count is approximately 187.88 million, with China having the highest number at 33.28 million[50] - Annual global traffic fatalities are around 1.3 million, with 55 million injuries, making it the leading cause of death for children and young adults aged 5-29[50] - GNSS tracking devices have a global industry penetration rate of 35%, with an annual production scale of 14.5 million units and an industry value of $15.3 billion[53] - AI-enabled video telematics market is expected to grow to $4.4 billion by 2025-2027, with a projected growth rate of 18%[57] - UN ECE R151 and R159 regulations cover approximately 6.72 million vehicles in the EU, generating an annual demand of 500,000 units with a market space of $1-1.5 billion[59] - Video telematics devices have a market penetration rate of 10%, with prices ranging from $100 to $500 per unit[55] - AI-driven intervention systems are gaining traction, with North America leading at 18% penetration, followed by Europe at 4%[57] - The Vision Zero initiative aims to achieve zero traffic fatalities and severe injuries through comprehensive strategies and technological innovations[49] - The commercial vehicle safety technology market has evolved through four stages, with each stage addressing different industry challenges and enhancing market value[51] Product and Solution Development - The company aims to expand its commercial vehicle front-end market through high-value products and solutions like European standard solutions, AEBS, and electronic rearview mirrors[8] - The company will continue to optimize and improve its safety closed-loop solution (Vision Zero Booster) and promote its application in more industries and customers[6] - The company will enhance operational efficiency by streamlining end-to-end support processes and leveraging AI and IT technologies[8] - The company will advance its intelligent manufacturing process and strengthen its overseas supply chain system[8] - The company's products and services comply with and exceed the latest global regulations, earning recognition from governments, regulators, and industry stakeholders[48] - The fourth-generation solution combines AI and big data to enhance safety management and operational efficiency by analyzing driver behavior and vehicle status[60] - The company's AEBS system integrates in-cabin and cloud algorithms, enhancing AEB control with multi-dimensional design capabilities, and reduces intervention when the driver's state is normal while increasing intervention during abnormal states[133] - The company's perception system combines data from multiple heterogeneous sensors, including cameras, millimeter-wave radar, LiDAR, and IMU, achieving a comprehensive environmental coverage with an accuracy rate of over 95% in complex conditions[136] - The company's intelligent system uses Transformer multimodal models to identify risks, detect accidents, and provide real-time risk recognition, with personalized risk identification for different drivers[137] - The company's cloud and big data analytics process structured data in real-time, including speed, distance, and lane-keeping, to create comprehensive driver profiles and enable precise management of driving behavior[138] - The company's intervention execution system integrates in-vehicle camera perception and cloud analysis, offering multi-level warnings and hierarchical braking responses based on risk levels[139] - The company launched the "Vision Zero Booster" solution, combining perception, intelligence, cloud computing, big data, and intervention execution to significantly reduce driving safety risks[135] - The company's smart camera product family includes over a dozen categories, such as front-facing, blind-spot, pre-installed, and specialized scene cameras, catering to various intelligent needs in traffic environments[140][142] - The company's smart display series integrates touch interfaces and natural language processing, providing real-time information like video monitoring, safety alerts, and vehicle status for efficient driving decision support[144] - The company's personalized voice customization allows drivers to import family members' voices for reminders, enhancing emotional engagement and driving experience[132] - The company's AI-driven dialogue service uses natural language processing to provide diverse and engaging conversations, reducing driver fatigue and stress during long drives[131] Safety and Risk Management - The company faces risks from intensified market competition, technological updates, and potential bad debts from accounts receivable[9][12][13] - The company's freight driving safety solution includes video-based safety management, driver monitoring systems (DMS), advanced driver assistance systems (ADAS), driver training, risk management services, and driver and insurance evidence collection[186] - The company's freight industry solutions consist of IoT products, visual blind spot products, intelligent camera products, and a safety closed-loop platform, categorized into compliance, safety risk management, blind spot warning, cargo management, and rapid evidence collection[178] - The company aims to achieve a full-chain closed-loop traffic safety model, integrating intelligent perception, precise calculation, big data-driven decision-making, and timely intervention execution[180] - The company's solutions for the Asia-Pacific region include video monitoring, driving behavior analysis, and remote data transmission, ensuring compliance with local vehicle driving record and safety management requirements while optimizing vehicle dispatch efficiency[182] - The company's solutions for the EU market focus on heavy truck starting and right-turn scenarios, providing intelligent warning systems for drivers and pedestrians, compliant with R151, R159, ADDW, and ISA regulations[184] - The company's solutions for the US market ensure compliance with ELD regulations by providing precise vehicle operation status and driver working hours data through a CANBus box device and data API interface[185] - The company's high-definition video technology helps fleets prevent false claims, with potential savings from a single collision lawsuit covering the annual cost of the video solution[187] - The company's blind spot safety solutions include multi-angle, high-definition imaging systems for various vehicle types, such as freight trucks and agricultural machinery[188] - The company's wireless intelligent blind spot solution for non-rigid large trailers simplifies installation and maintenance while ensuring stable transmission in harsh conditions[189] - The company's video surveillance and networked control solutions address high-value cargo theft and accident liability disputes, featuring high-definition, wide-angle, and low-light capabilities[190] - The company's intelligent accident recognition system integrates AI, ADAS, and big data to provide real-time monitoring and immediate alerts, reducing accident losses[191] - The company's AI video products have a global market share of 2.1 million units, ranking first in the fleet video management system market[192] - The company's 360-degree panoramic view system reduces accidents caused by blind spots by providing a complete bird's-eye view of the vehicle's surroundings[194] - The company's AI-based active safety driving supervision technology detects driver fatigue and distraction, issuing alerts to prevent accidents[195] - The company's driver training program enhances driver skills and safety awareness, optimizing human resource management and performance evaluation systems[196] - The safety risk prediction engine monitors driver behavior in real-time and accumulates data to create personalized driver profiles for customized training[196] - AI-powered analysis of driver behavior data helps optimize operational strategies, route planning, and safety measures[196] - The system provides real-time vehicle location, speed, and route tracking using GNSS and BeiDou navigation systems[198][200] - Real-time monitoring of engine RPM, oil pressure, coolant temperature, and battery voltage supports predictive maintenance and fault diagnosis[198][200] - Advanced driver assistance systems (ADAS) record unsafe driving behaviors such as speeding, harsh acceleration, and fatigue driving[200] - Environmental data collection includes road conditions, weather, and proximity to other road users using DMS, BSD, and AEBS systems[200] - Remote diagnostics via IoT platforms enable deep fault code retrieval and timely repair recommendations[198][200] - Compliance with EU UN ECE R151/R159 and London TFL DVS/PSS regulations mandates blind-spot assistance systems for commercial vehicles[199] - The company's data collection solution integrates advanced onboard hardware with cloud-based big data platforms for comprehensive vehicle analysis[199] Operational Efficiency and Logistics - The intelligent interactive screen enhances logistics efficiency by integrating multi-dimensional information, including optimal route planning, real-time traffic updates, and delivery details, significantly improving overall logistics performance[145] - The intelligent interactive screen supports customized dispatch systems and workflows for commercial fleet management, greatly enhancing operational efficiency[145] - The intelligent interactive screen provides unified dispatch management, driver revenue analysis, and operational hotspot distribution analysis for taxi companies, improving management efficiency[145] - The intelligent interactive screen enables remote monitoring and fine-grained management of fleet operations, including driving trajectory recording, vehicle health diagnostics, and fuel consumption analysis, driving the intelligent and digital transformation of commercial fleets[146] - The vehicle central processing unit integrates advanced technologies such as high-performance SoC, 5G communication, high-precision positioning, and AI, providing a comprehensive solution for commercial vehicle safety and information applications[147] - The intelligent bus central processing unit integrates advanced driver assistance, driver state monitoring, blind spot detection, and 360° panoramic view functions, significantly reducing traffic accident rates[149] - The intelligent bus central processing unit supports up to 24 channels of full HD video surveillance, enhancing traffic violation monitoring and public safety[150] - The intelligent bus central processing unit provides real-time route information, public service updates, and transfer guidance, greatly improving passenger experience and satisfaction[151] - The intelligent bus central processing unit includes core operational scheduling and intelligent passenger flow detection functions, improving operational efficiency and service quality[152] - The electronic rearview mirror (CMS) reduces wind resistance by 1%-4%, saving fuel and electricity, with Mercedes ACTROS heavy trucks achieving a 1.3% fuel saving, equivalent to approximately 7,000 yuan annually for domestic heavy trucks operating 250,000 kilometers per year[154] - The company launched a high-definition in-car screen and wide-angle camera combination for reversing assistance, fully compliant with UN-R158 standards[163] - A four-split high-definition screen with wide-angle cameras was introduced for engineering vehicles, enhancing visibility and safety in complex environments[163] - Wireless video solutions were developed for large machinery vehicles, addressing wiring challenges with automatic frequency tuning technology[163] - The AI-powered single-lens blacklight blind-spot product covers a wide detection area, providing real-time warnings for heavy trucks, reducing accident risks[165] - The multi-lens blacklight blind-spot product integrates AI chips and dual lenses, covering a 50-meter range for large vehicles, meeting European R151/R159 standards[166] - The third-generation AI-AVM 360°全景辅助系统 features dual-chip design, 4K ultra-high-definition recording, and AI环绕 detection, addressing previous technical limitations[167] Data Security and Privacy - The company emphasizes the importance of data security and privacy protection in logistics, aligning with strict personal information protection regulations[170] - The EU Tachograph法规 mandates the use of driving time recorders in heavy commercial vehicles, ensuring compliance with driving and rest time regulations[174] - The company launched a new generation of vehicle driving recorder products in 2023, fully compliant with the new national standard GB/T 19056-2021, and provided open API interfaces and a stable video cloud platform solution to enhance safety management and operational efficiency in the freight industry[182] - The company developed an intelligent monochrome blacklight blind spot warning system for heavy goods vehicles (HGVs) in the UK, fully compliant with the Direct Vision Standard (DVS) and Pedestrian Safety Systems (PSS) regulations, and enhanced with driver interaction features[183] - The company introduced the R151 intelligent integrated ultra-long-range blacklight blind spot warning product for heavy trucks in the EU, compliant with R151, R159, ADDW, and ISA regulations, focusing on higher cost-effectiveness and personalized intelligent alerts[184] - The company provided a CANBus box device and data API interface for the US market, ensuring compliance with the Electronic Logging Device (ELD) regulations by accurately recording and transmitting vehicle operation status and driver working hours[185] AI and Big Data Applications - The company leverages its expertise in AI and big data analytics to optimize and upgrade its product lines, meeting market demands for more efficient and intelligent safety solutions[80] - The company is actively involved in the digital transformation of the commercial vehicle industry, integrating IoT sensing facilities and communication systems into infrastructure planning[77] - The company's AI video fusion solution integrates DMS and ADAS technologies, leveraging edge computing for real-time AI information overlay and rapid transcoding[105] - The platform achieves second-level latency from user request to video playback, ensuring high reliability with advanced network transmission technology[105] - The H5-SDK component provides a comprehensive audio-video solution with AI capabilities, supporting real-time playback, recording, and advanced features like DMS and ADAS[105] - The storage management system supports multiple storage options including local disk, NAS, and cloud platforms, offering features like file deduplication and tamper-proof verification[107] - Real-time GNSS trajectory tracking provides precise vehicle location and movement paths, enhancing route monitoring and mileage calculation[107] - The AI three-tier R&D architecture includes deployment, model, and application layers, enabling efficient and flexible AI algorithm deployment across various chips[110] - The company has developed unique visual algorithms such as target detection and segmentation, optimized for low power consumption and high accuracy[110] - The hardware design system includes capabilities like power reliability, modular design, and miniaturization, ensuring high reliability and compliance with international standards[111] - The miniaturized product design integrates dual cellular networks, GNSS, and WiFi antennas, meeting performance and regulatory requirements[112] - The company's ultra-high-definition imaging technology significantly enhances the ability to identify potential risks by capturing high-resolution images, surpassing human vision in detecting blind spots[116] - The company's AI visual algorithm enhances real-time analysis of video streams, improving the recognition and warning capabilities for potential hazards in blind spots[117] - The company's AI algorithms for pedestrian collision detection maintain over 95% accuracy in various conditions, including day, night, and backlighting[119] - The company's AI algorithms for vehicle distance monitoring maintain over 99% accuracy in detecting vehicles up to 200 meters away under various conditions[119] - The company's traffic sign recognition (TSR) algorithm achieved over 95% accuracy in a 400-kilometer real-road test in Spain, exceeding standard requirements[120] - The company's driver monitoring system (DMS) for fatigue detection achieves over 95% accuracy, addressing industry challenges such as "small eye misjudgment"[120] - The company's DMS for phone call detection achieves 99% accuracy, effectively reducing false alarms caused by non-standard hand gestures[120] - The company's DMS for eating detection innovatively eliminates false alarms caused by factors like facial hair or wearing masks[121] - The company's DSC algorithm for seatbelt detection optimizes false alarm issues in low-light conditions or when seatbelt colors blend with clothing[121] - The company's multi-sensor fusion perception integrates radar, IMU, map, and weather data to improve target detection accuracy in complex scenarios[117] - Blind Spot Detection (BSD) technology identifies pedestrians and vehicles in blind spots, reducing invalid alarms by filtering non-collision risks[122] - Garbage disposal detection technology significantly reduces misidentification caused by environmental changes like water stains and shadows[122] - Face attribute analysis technology extracts multiple attributes including age, gender, and mask-wearing status using a lightweight multi-branch network[122] - Passenger flow statistics technology counts passengers and tracks their trajectories, detecting the presence of key items carried by each passenger[123] - Taxi left-behind item detection technology supports over 20 major categories and thousands of subcategories, generating alerts within 1 second[123] - Scene recognition large model automatically structures and archives video information, enhancing video processing efficiency[125] - Image generation large model creates realistic images for various scenarios, significantly reducing data collection time and product development cycles[125] - Industry-specific large model improves detection accuracy and speed, quickly adapting to new scenarios and business needs[126] - Cloud computing and big data analysis platform provides real-time safety risk calculation and analysis, predicting driver risk states using self-supervised methods[129] - Driver profiling service builds comprehensive driver risk and behavior patterns using big data analysis, enhancing safety monitoring[130] Market Share and Recognition - The company holds a 12% global market share in the in-vehicle video surveillance market, ranking first worldwide[82] - The company has been recognized as a "National High

证券代码：002970 证券简称：锐明技术 公告编号：2024-019 深圳市锐明技术股份有限公司 关于董事会换届选举的公告 本公司及董事会全体成员保证信息披露的内容真实、准确、完整，没有虚假 记载、误导性陈述或重大遗漏。 深圳市锐明技术股份有限公司（以下简称"公司"）第三届董事任期将于 2024 年 5 月 12 日届满，根据《中华人民共和国公司法》、《深圳证券交易所 股票上市规则》等法律法规、规范性文件及《深圳市锐明技术股份有限公司章 程》（以下简称"《公司章程》"）的有关规定，公司按照相关法律程序进行 董事会换届选举。 公司于 2024 年 4 月 22 日召开第三届董事会第二十四次会议，审议通过了 《关于提名公司第四届董事会非独立董事候选人的议案》和《关于提名公司第四 届董事会独立董事候选人的议案》。现将相关事项公告如下： 按照《公司章程》的约定，公司第四届董事会由 7 名董事组成，其中非独 立董事 4 名，独立董事 3 名。经公司董事会提名委员会审查，董事会同意提名 赵志坚先生、望西淀先生、刘垒先生、黄凯明先生为第四届董事会非独立董事 候选人，提名向怀坤先生、梁金华先生、金振朝先生为第四届董事会独立 ...

证券代码：002970 证券简称：锐明技术 公告编号：2024-012 深圳市锐明技术股份有限公司 第三届监事会第二十三次会议决议公告 本公司及监事会全体成员保证信息披露的内容真实、准确、完整，没有虚假 记载、误导性陈述或重大遗漏。 一、监事会会议召开情况 深圳市锐明技术股份有限公司（以下简称"公司"）第三届监事会第二十三 次会议于 2024 年 4 月 22 日在公司会议室以现场和通讯相结合的方式召开。本次 监事会会议的通知于 2024 年 4 月 11 日以书面、电子邮件、电话方式通知全体监 事。会议应出席监事 3 名，实际出席监事 3 名。公司董事会秘书列席了本次会议。 本次监事会会议由监事会主席吴祥礼先生主持。本次会议的召集和召开符合国家 有关法律、法规及《公司章程》的规定。 二、监事会会议审议情况 经与会监事审议，以投票表决方式通过了以下决议： 1、审议通过《关于<2023 年年度报告>及其摘要的议案》 公司全体监事确认：公司《2023 年年度报告》及其摘要内容真实、准确地 反映了公司的生产经营情况，不存在虚假记载、误导性陈述或重大遗漏。 具体内容详见与本公告同日在巨潮资讯网（www.cninfo. ...

深圳市锐明技术股份有限公司 控股股东及其他关联方资金占用情况的 专项说明 北京大华核字[2024]00000103 号 北 京 大 华 国 际 会 计 师 事 务 所 (特 殊 普 通 合 伙 ) BeijingDahuaInternationalCertifiedPublicAccountants(SpecialGeneralPartnership) 深圳市锐明技术股份有限公司 控股股东及其他关联方资金占用情况的专项说明 （截止 2023 年 12 月 31 日） 目录 页次 一、 控股股东及其他关联方资金占用情况的专项 说明 1-2 二、 深圳市锐明技术股份有限公司 2023 年度非经 营性资金占用及其他关联资金往来情况汇总 表 3-5 北京大华国际会计师事务所(特殊普通合伙) 北京市西城区阜成门外大街 31 号五层 519A [100071] 电话：86 (10) 6827 8880 传真：86 (10) 6823 8100 控 股 股 东 及 其 他 关 联 方 资 金 占 用 情 况 的 专 项 说 明 北京大华核字[2024]00000103 号 本专项说明是我们根据中国证监会及其派出机构和深圳证 ...