证券代码：002970 证券简称：锐明技术 公告编号：2024-015 深圳市锐明技术股份有限公司 关于注销 2021 年股票期权与限制性股票激励计划 部分已授予但尚未行权的股票期权的公告 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"）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，分别审议 通过了《关于注销 2021 年股票期权与限制性股票激励计划部分已授予但尚未 行权的股票期权的议案》，根据《上市公司股权激励管理办法》（以下简称"《管 理办法》"）等法律法规、公司《2021 年股票期权与限制性股票激励计划（草 案修订稿）》（以下简称"《激励计划》"）的规定以及公司 2021 年第一次临 时股东大会的授权，同意公司注销 2021 年股票期权与限制性股票激励计划（以 下简称"本次激励计划"）部分已授予但尚未行权的 81.20 万份股票期权。具 体事项公告如下： 6、2021 年 8 月 19 日，公司召开第三届董事会第四次会议和第三届监事会 第四次会议，审议通过了《 ...

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:2024-025 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. ...

证券代码：002970 证券简称：锐明技术 公告编号：2024-011 深圳市锐明技术股份有限公司 第三届董事会第二十四次会议决议公告 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、董事会会议召开情况 深圳市锐明技术股份有限公司（以下简称"公司"）第三届董事会第二十四 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 董事会会议的通知于 2024 年 4 月 11 日以书面、电子邮件、电话方式通知全体董 事。会议应出席董事 7 名，实际出席董事 7 名。本次董事会会议由董事长赵志坚 先生主持。本次会议的召集和召开符合《中华人民共和国公司法》（以下简称"《公 司法》"）等国家有关法律、法规及《深圳市锐明技术股份有限公司章程》（以 下简称"《公司章程》"）的规定，决议合法有效。 二、董事会会议审议情况 经与会董事审议，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》 公司全体董事确认：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 ...

深圳市锐明技术股份有限公司 审计报告 北京大华审字[2024]00000377 号 北 京 大 华 国 际 会计师事务所 (特 殊 普 通 合 伙 ) Beijing Dahua International Certified Public Accountants (Special General Partnership) 深圳市锐明技术股份有限公司 审计报告及财务报表 （2023 年 1 月 1 日至 2023 年 12 月 31 日止） | | 目 | 录 | 页 次 | | --- | --- | --- | --- | | 一、 | 审计报告 | | 1-7 | | 二、 | 已审财务报表 | | | | | 合并资产负债表 | | 1-2 | | | 合并利润表 | | 3 | | | 合并现金流量表 | | 4 | | | 合并股东权益变动表 | | 5-6 | | | 母公司资产负债表 | | 7-8 | | | 母公司利润表 | | 9 | | | 母公司现金流量表 | | 10 | | | 母公司股东权益变动表 | | 11-12 | | | 财务报表附注 | | 1-127 | 北京大华国 ...

独立董事关于公开征集表决权的公告 独立董事金振朝保证向本公司提供的信息内容真实、准确、完整，没有虚 假记载、误导性陈述或重大遗漏。 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。 特别声明： 1、本次征集表决权为依法公开征集，征集人金振朝先生符合《中华人民共 和国证券法》第九十条、《上市公司股东大会规则》第三十一条、《公开征集上 市公司股东权利管理暂行规定》第三条规定的征集条件； 2、截至本公告披露日，征集人未持有公司股份。 根据中国证券监督管理委员会（以下简称"中国证监会"）颁布的《公开征 集上市公司股东权利管理暂行规定》《上市公司股权激励管理办法》（以下简称 "《管理办法》"）等有关规定，并受深圳市锐明技术股份有限公司（以下简称 "公司"）其他独立董事委托，独立董事金振朝先生作为征集人，就公司拟于 2024 年 5 月 14 日召开的 2023 年年度股东大会审议的有关股权激励议案向公司 全体股东征集表决权。 证券代码：002970 证券简称：锐明技术 公告编号：2024-027 深圳市锐明技术股份有限公司 3、本次征集表决权基于征集人作为独立董事的职责， ...

深圳价值在线信息科技股份有限公司 关于 深圳市锐明技术股份有限公司 2021 年股票期权与限制性股票激励计划 回购注销部分限制性股票相关事项 之 独立财务顾问报告 二〇二四年四月 | 第一章 | 释 义 | 1 | | --- | --- | --- | | 第二章 | 声 明 | 3 | | 第三章 | 基本假设 | 4 | | 第四章 | 本次激励计划涉及限制性股票已履行的审批程序 | 5 | | 第五章 | 本次回购注销部分限制性股票的具体情况 | 9 | | | 一、回购注销限制性股票的原因及数量 | 9 | | | 二、回购注销价格及资金来源 10 | | | 第六章 | 独立财务顾问的核查意见 12 | | 深圳价值在线信息科技股份有限公司 独立财务顾问报告 第一章 释 义 在本报告中，如无特殊说明，下列简称具有如下含义： | 释义项 | | 释义内容 | | --- | --- | --- | | 锐明技术、本公司、上市 | 指 | 深圳市锐明技术股份有限公司 | | 公司、公司 | | | | 本激励计划、本次激励计 | 指 | 深圳市锐明技术股份有限公司 2021 年股票期权与限制 | | ...

证券代码：002970 证券简称：锐明技术 公告编号：2024-018 深圳市锐明技术股份有限公司 关于 2022 年股票期权激励计划预留授予第二批次 第一个行权期行权条件成就的公告 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。 一、本次激励计划已履行的相关审批程序和信息披露情况 1 公司 2022 年股票期权激励计划（以下简称"本次激励计划"）预留授予第二 批次第一个行权期符合行权条件的激励对象共 40 名，可行权的股票期权数 量共计 25.75 万份，行权价格为 21.05 元/份。 本次行权采用自主行权模式。 本次可行权股票期权若全部行权，公司股权分布仍具备上市条件。 本次行权事宜需在相关机构办理完毕相应的行权手续后方可行权，届时公司 将另行公告，敬请投资者注意。 1、2022 年 5 月 25 日，公司第三届董事会第九次会议和第三届监事会第九 次会议审议通过了《关于<公司 2022 年股票期权激励计划（草案）>及其摘要的 议案》《关于<公司 2022 年股票期权激励计划实施考核管理办法>的议案》《关 于核实<公司 2022 年股票期权激励计划首次授予 ...

二、本人不存在《中华人民共和国公司法》第一百四十六条等规定不得担任公司 董事的情形。 ☑是 □ 否 如否，请详细说明：____________________________ 深圳市锐明技术股份有限公司 独立董事候选人声明与承诺 声明人 向怀坤 作为深圳市锐明技术股份有限公司第四届董事会独立董事候选 人，已充分了解并同意由提名人深圳市锐明技术股份有限公司董事会提名为深圳 市锐明技术股份有限公司（以下简称该公司）第四届董事会独立董事候选人。现 公开声明和保证，本人与该公司之间不存在任何影响本人独立性的关系，且符合 相关法律、行政法规、部门规章、规范性文件和深圳证券交易所业务规则对独立 董事候选人任职资格及独立性的要求，具体声明并承诺如下事项： 一、本人已经通过深圳市锐明技术股份有限公司第三届董事会提名委员会或者独 立董事专门会议资格审查，提名人与本人不存在利害关系或者其他可能影响独立 履职情形的密切关系。 ☑是 □ 否 如否，请详细说明：____________________________ 三、本人符合中国证监会《上市公司独立董事管理办法》和深圳证券交易所业务 规则规定的独立董事任职资格和条件。 ☑是 □ ...

深圳市锐明技术股份有限公司 2022 年股票期权激励计划预留授予第二批次第一个行权期 符合行权条件的激励对象名单 根据深圳市锐明技术股份有限公司第三届董事会第二十四次会议审议通过 的《关于 2022 年股票期权激励计划预留授予第二批次第一个行权期行权条件成 就的议案》，2022 年股票期权激励计划预留授予第二批次第一个行权期符合行 权条件的激励对象名单如下： 注：1、本激励计划激励对象不包括独立董事、监事及单独或合计持有公司 5%以上股份的股东或实际 控制人及其配偶、父母、子女。 2、上表数据已剔除离职人员。 二、核心管理人员及核心技术（业务）人员名单 | 序号 | 姓名 | 职务 | | --- | --- | --- | | 8 | 胡洪 | 核心管理人员及核心技术（业务）人员 | | 9 | 胡晋蓥 | 核心管理人员及核心技术（业务）人员 | | 10 | 姬鹏飞 | 核心管理人员及核心技术（业务）人员 | | 11 | 雷川 | 核心管理人员及核心技术（业务）人员 | | 12 | 李鹏 | 核心管理人员及核心技术（业务）人员 | | 13 | 林旭南 | 核心管理人员及核心技术（业务）人员 | | ...