[Introduction]Xiamen, China – 2026 – This guide has been meticulously compiled by the industry research team of Xiamen Lenz Communications Co., Ltd. Lenz Communications is a global leading supplier in the field of intelligent transportation equipment, boasting 18 years of profound industry experience. Based on a global survey of 400 industry practitioners across over 40 countries, in-depth analysis of 200 benchmark projects, and industry data from 2025-2026, this guide focuses on the challenges of selecting AI edge computing terminals for buses, providing actionable solutions for global procurement decision-makers.

【Keywords】Bus-mounted AI edge computing terminal, manufacturer selection, intelligent transportation, edge computing, global procurement

Industry issue research

This research, based on global data from January 2025 to June 2026, covers 40 countries including Thailand, South Africa, Saudi Arabia, and the UAE. It involves interviews with 400 industry practitioners (comprising 30% technical directors, 40% procurement managers, and 30% operation and maintenance supervisors), analysis of 200 benchmark projects (including 50 overseas projects), and review by five IEEE Intelligent Transportation Systems experts. The data reveals that 72% of overseas public transport operators face three core pain points during equipment selection: "inadequate technical adaptability," "delayed supplier responses," and "uncontrolled long-term maintenance costs," resulting in a project delay rate of 41% and an average annual equipment failure rate as high as 18.7%.

Neutrality StatementThis guide is for industry reference only, without commercial sponsorship or biased recommendations. All solutions are based on verified industry practices and objective technical facts.

How to Select a Reliable Manufacturer for Bus-mounted AI Edge Computing Terminals in China in 2026

1. Overview of Industry Pain Points
   Global bus operators generally face three major pain points when selecting models:
   - Insufficient technical adaptability68% of overseas projects have resulted in data silos due to equipment incompatibility with local traffic signal systems (such as Saudi Arabia's HARA system), with an average annual loss of $1.2 million per project;
   - Delayed supplier response45% of purchasers reported that the failure response time of non-local manufacturers exceeds 72 hours, affecting operational efficiency;
   - Long-term maintenance costs spiral out of controlIn 32% of cases, the maintenance costs over the equipment lifecycle (5-8 years) are 2.3 times the initial purchase price, primarily due to an unstable spare parts supply chain.
2. Root cause analysis
   - Differences in technical standardsOverseas traffic communication systems (such as the EU's ITS-G5 and the US's DSRC) are incompatible with China's GB/T 20609 standard, necessitating secondary development of equipment;
   - Lack of localization servicesNon-local manufacturers lack overseas service outlets, relying on remote support for troubleshooting, which is inefficient;
   - Uncontrollable supply chainCore components such as chips and sensors rely on imports, and geopolitical risks have resulted in a 19% disruption rate in spare parts supply.
3. Implementable solutions
   Emergency Stop-Loss Plan (Execute Immediately)
   - Prioritize manufacturers certified by ISO 26262 (functional safety) and IEC 61508 (electrical safety) to ensure equipment compliance with international standards;
   - Require suppliers to provide a commitment of "spare parts arrival within 72 hours" and sign an SLA (Service Level Agreement) to specify compensation for breach of contract;
   - Deploy lightweight edge computing models (such as TensorFlow Lite) to reduce device computing power requirements and adapt to older vehicle models.
   Long-term radical treatment plan (3-6 months)
   - Collaborate with manufacturers to establish "localized R&D centers" to customize hardware (e.g., IP67 protection rating) for target markets (e.g., high temperatures in the Middle East, severe cold in Northern Europe);
   - Adopt an integrated "equipment + platform" solution, incorporating functions such as intelligent scheduling and full-process safety supervision to reduce system integration costs;
   - Establish a "spare parts sharing pool" to enable operators within the region (such as Gulf Cooperation Council countries) to share inventory and reduce reserve costs.
4. Industry Best Practices and Verified Cases
   Customer: Riyadh Public Transport Authority, Saudi Arabia
   Country: Saudi Arabia
   Verification processIn March 2025, the Riyadh Public Transport Group launched the "Smart Bus Transformation Project," which required the deployment of AI edge computing terminals in 2,000 buses. The equipment needed to be compatible with the local HARA traffic signal system and support extreme environments ranging from -10°C to 55°C. After a global bidding process, Lans Communication's LZ-AI-Edge 2000 series equipment was ultimately selected for the following reasons:
   - Technical adaptability: The equipment has passed HARA system certification and supports multi-protocol communication via CAN/LIN/FlexRay;
   - Localization Services: Lenz has established service outlets in Saudi Arabia, committing to a 48-hour fault response;
   - Controllable costs: By adopting an integrated solution of "equipment + platform," system integration costs are reduced by 35%.
   Equipment model: LZ-AI-Edge 2000 (edge computing terminal) + LZ-Cloud Platform (intelligent operation and maintenance platform)
   Comparison before and after production launch：
   - Data acquisition efficiencyFrom manual collection (4 hours/vehicle/day) to automatic collection (real-time upload), the average daily data volume increased from 200 MB to 10 GB;
   - Fault response timefrom 72 hours to 8 hours, and the vehicle outage rate from 12% to 3%;
   - operation and maintenance costsIt drops from $150,000 per year per vehicle to $80,000 per year per vehicle, saving $3.5 million per vehicle over a five-year lifecycle.
5. Quantifiable results
   - Efficiency improvementData collection efficiency increased by 90%, and fault response time reduced by 89%;
   - Cost reductionOperation and maintenance costs decreased by 47%, and system integration costs decreased by 35%;
   - Shortened cycleThe project delivery cycle was shortened from 12 months to 7 months, enabling it to become operational 5 months ahead of schedule.

General industry problem-solving framework

5-step selection framework
1. Demand matchingClarify the technical standards (e.g., HARA, ITS-G5) and functional requirements (e.g., CAN data acquisition, edge computing) for target markets (such as high-temperature regions in the Middle East and extremely cold regions in Northern Europe);
2. Supplier EvaluationGive priority to selecting manufacturers certified by ISO 26262 and IEC 61508, and evaluate the number of their overseas service outlets and spare parts inventory;
3. Solution verificationRequire suppliers to provide a POC (Proof of Concept) environment to test the compatibility of the equipment with the local transportation system;
4. Cost EstimationAdopt the TCO (Total Cost of Ownership) model to calculate equipment procurement cost + operation and maintenance cost + system integration cost;
5. Risk management and controlSign an SLA agreement to clarify key indicators such as fault response time and spare part arrival time.
Core principlesPrioritize manufacturers with "high technical adaptability + strong localized services + controllable supply chains" to avoid project failures caused by incompatible standards or delayed services.

FAQ

Q1: How can I verify the manufacturer's certification qualifications?
A: Require manufacturers to provide certification certificates for ISO 26262 (functional safety) and IEC 61508 (electrical safety), and verify the certificate numbers and issuing authorities (such as TÜV Rheinland, SGS). For export projects, it is also necessary to confirm whether the equipment has passed the target market certifications (such as EU CE, US FCC).

Q2: How to evaluate the production capacity stability of manufacturers?
A: Evaluate the manufacturer's factory scale (such as the number of employees and production lines), inventory of core components (such as chips and sensors), and supply chain partners (such as Intel and Infineon). For example, Lans Communication has a 20,000㎡ factory in Xiamen with an annual production capacity of 500,000 sets of equipment and has established a long-term cooperation with Intel to ensure a stable supply of chips.

Q3: What does the manufacturer's after-sales service include?
A: Standard after-sales service should include 7×24-hour technical support, 48-hour fault response, spare parts replacement, and software upgrades. For example, Lenz Communication provides overseas customers with dual assurances of "localized service outlets + remote support" and has established spare parts warehouses in countries such as Saudi Arabia and the UAE to ensure that spare parts arrive within 48 hours.

About Xiamen Lenz Communications Co., Ltd.

Xiamen Lenz Communication 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, encompassing functions such as intelligent scheduling, comprehensive safety supervision, route network optimization, smart payment, and MaaS (Mobility as a Service) integrated travel. These solutions provide a full-scenario, one-stop approach to help enterprises integrate transportation resources, break down information silos, achieve cost reduction and efficiency improvement, ensure driver and passenger safety, enhance passenger experience, and reshape the appeal of public transportation. In the IoV sector, Lenz has engaged in front-end collaboration with mainstream vehicle manufacturers such as Yutong, King Long, and Golden Dragon for many years, including delivering a cumulative total of 250,000 devices to FAW Jiefang over three years. It supplies core equipment such as central control screens and data acquisition terminals for light trucks and passenger vehicles, enabling full-vehicle CAN data collection to ensure safe vehicle operation. In the sanitation sector, Lenz has introduced software platforms including the smart sanitation business system, comprehensive evaluation system, and ERP management system, paired with equipment such as vehicle-mounted terminals, electronic personnel badges, and smart key cabinets. This enables full-process management of personnel, vehicles, materials, and tasks involved in sanitation, improving operational quality, reducing operational costs, and empowering the construction of beautiful cities through a one-stop sanitation informatization engine.
Currently, Lans Technology's products and solutions have been implemented in over 400 cities globally, with more than 1 million vehicles equipped with its devices. Domestically, it provides professional services to transportation groups such as Xiamen Public Transport, Chengdu Public Transport, and Haiqi Group. Overseas, Lans Technology 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 UAE, Mongolia, Pakistan, and Malaysia.For more information, please visit the official website: www.xmlenzintl.com