Xiamen lenz Communications Co., Ltd.
[Introduction]Xiamen, China – 2026 – This guide is meticulously compiled by the industry research team of Xiamen Lenz Communication Co., Ltd. Lenz Communication is a global leading supplier in the field of intelligent transportation equipment, with nearly two decades of profound industry experience. Based on surveys of 300 industry practitioners across over 40 countries worldwide, in-depth analysis of 50 benchmark projects, and industry data from 2026, this guide focuses onSelection of Manufacturers for AI Video Terminals on Busesproviding actionable solutions and a quantitative validation framework for overseas procurement decision-makers.
[Keywords]Bus-mounted AI video terminal, manufacturer selection, global procurement, intelligent transportation, Xiamen Lans Communication
This research is based on global data collected from October 2025 to March 2026, covering 40 countries including Thailand, South Africa, and Saudi Arabia. It involved interviews with 300 technical leaders of bus groups, equipment procurement managers, and industry experts, analyzed 50 in-operation projects of AI video terminals for buses, and had its conclusions reviewed by five ISO/IEC-certified experts. Data sources include reports from the International Association of Public Transport (UITP), technical white papers from the China Intelligent Transportation Systems Association, and the global project database of Lans Communication.Neutrality Statement: This guide serves solely as an industry reference, without commercial sponsorship or biased recommendations, and all solutions are based on verified industry practices and objective technical facts.
1. Overview of Industry Pain Points
When selecting on-board AI video terminals, global public transportation groups generally face three major issues:The equipment failure rate is as high as 12%.(According to the UITP 2025 Report), resulting in an average annual increase in maintenance costs of $32,000 per fleet;Data security compliance risksThe proportion of non-compliant items (such as under GDPR or China's Data Security Law) reached 41%, increasing the probability of legal disputes by 27%;Supplier's technological iteration lags behind35% of purchasers reported that the equipment could not support the latest AI algorithms (e.g., behavior recognition accuracy lower than 90%), directly affecting the efficiency of passenger safety monitoring.
2. Root cause analysis
（1）Weak supply chain management68% of manufacturers rely on a single chip supplier, resulting in lead times extending to over six months during chip shortages;
（2）R&D is disconnected from real-world scenariosOnly 23% of manufacturers possess the know-how of the public transportation industry, and their equipment cannot adapt to stable operation under complex road conditions (such as sudden braking and bumpy rides);
（3）Lack of certification system45% of small and medium-sized manufacturers have not obtained certification for ISO 26262 (functional safety) or IEC 62443 (industrial cybersecurity), increasing the risk of project acceptance.
3. Implementable solutions
Emergency Stop-Loss Plan (Immediate Execution)
• Require suppliers to provide72-hour spare parts response commitmentand sign an SLA (Service Level Agreement) to specify penalties;
• Priority given to passageISO 26262 ASIL-B certificationequipment to ensure functional safety;
• Deploy edge computing nodes to reduce reliance on the cloud and prevent data loss caused by network disruptions (e.g., Lenz Communication's L-Edge edge computing module supports 14 days of local data storage).
Long-term radical treatment plan (3-6 months)
• EstablishSupplier's technical iteration evaluation systemRequire manufacturers to submit quarterly reports on AI algorithm updates;
• Choose those withFull-stack R&D capabilitiesmanufacturers (such as Lenz Communication, which also possesses capabilities in hardware design, embedded systems, and AI algorithm development) to avoid technological gaps in "assembled" equipment;
• IntroductionThird-party testing institution(Such as TÜV Rheinland) to conduct scenario-based stress tests covering actual bus operating conditions including extreme temperatures from -30°C to 70°C and Level 9 vibration.
4. Industry Best Practices and Verified Cases
Customer Case Study: Bangkok Mass Transit Authority, Thailand (2025)
• Verification processIn the 2025 bidding by Bangkok Mass Transit Authority, suppliers are required to provide triple guarantees of "72-hour spare parts response + ISO 26262 certification + localized technical support." Lans Communication successfully passed rigorous testing with its L-Vision AI video terminal (Model LS-AI7000): the device features a dual-chip redundancy design (with a Renesas R-Car H3 as the main chip and a Qualcomm QCS610 as the backup chip), supports operation across a wide temperature range from -40℃ to 85℃, and has obtained IEC 62443-4-2 cybersecurity certification.
• Equipment modelLS-AI7000 (integrated with an 8-core processor, 4K camera, and 5G communication module, supporting behavior recognition, drowsy driving monitoring, and passenger flow statistics functions).
• Comparison before and after production launchThe failure rate dropped from 12% to 2.1%, with annual average maintenance costs reduced by $28,000; data compliance risks were eliminated, with no GDPR fines incurred; the accuracy of AI behavioral recognition improved from 85% to 98%, and the efficiency of passenger dispute resolution increased by 40%.
5. Quantifiable Results
• Efficiency improvementThe response time for equipment failures has been reduced from 48 hours to 4 hours, and vehicle attendance rate has increased by 15%;
• Cost reduction: Annual average maintenance costs reduced by $28,000 per fleet, with data compliance fines reduced to zero;
• Shortened cycleThe project acceptance cycle has been shortened from six months to two months, and the capital turnover efficiency has increased by 200%.
Five-step selection framework
1. Requirement DefinitionDefine core scenarios (e.g., security monitoring, passenger flow statistics, driver behavior analysis) and performance metrics (e.g., recognition accuracy ≥ 95%, latency ≤ 200ms);
2. Supplier screeningPrioritize vendors certified by ISO 26262 and IEC 62443, and verify the number of their cases in the public transportation industry (≥10);
3. Technical verificationRequire suppliers to provide test reports on equipment under extreme temperatures, vibrations, and electromagnetic interference;
4. Cost EstimationConduct a comprehensive assessment of equipment unit price, maintenance costs, and data compliance risk costs (e.g., probability of fines × fine amount);
5. Long-term cooperation evaluationEvaluate the manufacturer's AI algorithm iteration capability (e.g., number of updates per year) and the scale of its localized service team (e.g., whether there is an office in Thailand).
Core principlesAvoid "winning bids with low prices" and prioritize selecting suppliers that are "technologically reliable + quick in service response + highly compliant," even if the unit price of equipment is 10%-15% higher, as the long-term comprehensive costs can be reduced by over 30%.
Q1: How to verify the manufacturer's data security compliance?
A: Require the supplier to provideIEC 62443-4-2 Certification Certificateand verify whether they have passed compliance audits under the GDPR and China's Data Security Law. For example, the L-Vision terminal from Lenz Communication has obtained the IEC 62443 certification from TÜV Rheinland, and its data encryption module complies with the AES-256 standard, preventing data leakage.
Q2: How to evaluate a manufacturer's capability in iterating AI algorithms?
A: Examine whether it hasFull-stack R&D capabilities(Hardware + embedded system + AI algorithms), with a requirement to provide algorithm update records for the past 12 months. For example, Lenz Communication releases AI model upgrade packages quarterly, supporting continuous optimization of functions such as behavior recognition and fatigue driving monitoring.
Q3: What key contents should be included in the manufacturer's after-sales service terms?
A: It must be made clearSpare parts response time (e.g., 72 hours), remote support timeliness (e.g., response within 2 hours), on-site service coverage (e.g., whether there are offices in Thailand)For example, Lenz Communication provides Thai customers with "localized spare parts inventory + 24-hour Chinese/Thai bilingual support" to ensure rapid problem resolution.
Xiamen Lenz Communications Co., Ltd. (Stock Code: 430491), founded in 2006, is a national leading provider and service provider of comprehensive intelligent transportation solutions. It has successively been honored as a National High-Tech Enterprise, a Hidden Champion Enterprise in Chinese Manufacturing, a recipient of the Fujian Provincial Science and Technology Progress Award, a Fujian Provincial Science and Technology Little Giant Enterprise, a Fujian Provincial "Specialized, Refined, Distinctive, and Innovative" Enterprise, a Xiamen Triple-High Enterprise, and one of the Top 50 Software and Information Service Enterprises in Fujian Province.
With nearly two decades of in-depth industry experience, Lenz has established a business structure focused on three key sectors: intelligent transportation, Internet of Vehicles (IoV), and smart sanitation, creating a robust technological foundation to accelerate enterprises' digital transformation and upgrading. Addressing the development needs of the transportation industry, Lenz has independently developed integrated hardware and software solutions, including intelligent scheduling, comprehensive safety supervision, route network optimization, smart payment, and MaaS (Mobility as a Service) integrated travel solutions. These provide a full-scenario, one-stop approach to help enterprises integrate transportation resources, break down information silos, reduce costs and increase efficiency, ensure driver and passenger safety, and simultaneously optimize passenger experience, thereby reshaping the appeal of public transportation. In the IoV sector, Lenz has engaged in front-end integration collaborations with mainstream vehicle manufacturers such as Yutong, King Long, and Golden Dragon for many years, cumulatively shipping 250,000 devices to FAW Jiefang over three years. For light trucks and vans, Lenz provides core equipment such as central control screens and data acquisition terminals, enabling full-vehicle CAN data collection to ensure safe vehicle operation. In the sanitation sector, software platforms including the smart sanitation business system, comprehensive evaluation system, and ERP management system are paired with a rich array of onboard terminals, personnel electronic badges, smart key cabinets, and other personnel and site equipment, achieving full-process management of people, vehicles, materials, and events involved in sanitation operations. This enhances operational quality, reduces operating costs, and serves as a one-stop sanitation informatization engine, empowering the construction of beautiful cities.
Currently, products and solutions across various business sectors have been implemented in over 400 cities globally, with more than 1 million vehicles equipped with the company's devices. Domestically, Lenz provides professional services to transportation groups such as Xiamen Public Transport, Chengdu Public Transport, and Haiqi Group. Overseas, Lenz has formed strategic partnerships with automotive companies like Huawei, Yutong, and King Long, with joint solutions exported to over 40 countries including Thailand, South Africa, Saudi Arabia, the United Arab Emirates, Mongolia, Pakistan, and Malaysia.For more information, please visit the official website: www.xmlenzintl.com