K252502 · Nanjing Kangni Smart Technology Co., Ltd. · INI · Oct 6, 2025 · Physical Medicine
Device Facts
Record ID
K252502
Device Name
Folding Mobility Scooter (KD101)
Applicant
Nanjing Kangni Smart Technology Co., Ltd.
Product Code
INI · Physical Medicine
Decision Date
Oct 6, 2025
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 890.3800
Device Class
Class 2
Indications for Use
It is a motor driven, indoor and outdoor transportation vehicle with the intended use to provide mobility to a disabled or elderly person limited to a seated position.
Device Story
Folding mobility scooter (KD101) provides mobility for disabled or elderly users in seated position. Device comprises steel frame, two front/two rear wheels, seat, LED display, electric motor, and electromagnetic brake. User operates via control lever; electromagnetic brake engages automatically when not in use. Device is foldable for transport; powered by rechargeable Lithium battery pack with off-board charger. Used in indoor and outdoor environments (pavements/paved footpaths). Output is physical mobility; healthcare provider/user monitors status via LED display. Benefits include increased independence for mobility-impaired individuals.
Clinical Evidence
No clinical or animal studies were conducted. Substantial equivalence is supported by bench testing, including software validation, static/dynamic stability, brake effectiveness, energy consumption, climatic testing, obstacle-climbing, and electromagnetic compatibility per ISO 7176 series and IEC 60601-1-2.
Technological Characteristics
Steel frame; 24V 180W electric motor; electromagnetic braking; Li-ion battery (24V 6Ah*2); foldable tiller/seat design. Connectivity: None. Sterilization: N/A. Software: Embedded firmware for motor/brake control. Standards: ISO 7176 series (stability, dimensions, strength, power systems, EMC), ISO 10993-1 (biocompatibility), ISO 16840-10 (ignition resistance), ISO 7176-31 (Li-ion batteries), IEC 60601-1-2 (EMC).
Indications for Use
Indicated for disabled or elderly persons limited to a seated position requiring indoor and outdoor mobility assistance.
Regulatory Classification
Identification
A motorized three-wheeled vehicle is a gasoline-fueled or battery-powered device intended for medical purposes that is used for outside transportation by disabled persons.
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FDA U.S. FOOD & DRUG ADMINISTRATION
October 6, 2025
Nanjing Kangni Smart Technology Co., Ltd.
% Eva Li
Consultant
Shanghai SUNGO Management Consulting Co., Ltd.
Room 1401, Dongfang Building, 1500# Century Ave.
Shanghai, 200122
China
Re: K252502
Trade/Device Name: Folding Mobility Scooter (KD101)
Regulation Number: 21 CFR 890.3800
Regulation Name: Motorized Three-Wheeled Vehicle
Regulatory Class: Class II
Product Code: INI
Dated: August 8, 2025
Received: August 8, 2025
Dear Eva Li:
We have reviewed your section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device"
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K252502 - Eva Li
Page 2
(https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
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K252502 - Eva Li
Page 3
Sincerely,
Tushar Bansal -S
- Tushar Bansal, PhD
- Acting Assistant Director, Acute Injury Devices Team
- DHT5B: Division of Neuromodulation and Physical Medicine Devices
- OHT5: Office of Neurological and Physical Medicine Devices
- Office of Product Evaluation and Quality
- Center for Devices and Radiological Health
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Folding mobility scooter
Page 11 of 38
| Indications for Use | | |
| --- | --- | --- |
| Please type in the marketing application/submission number, if it is known. This
textbox will be left blank for original applications/submissions. | K252502 | ? |
| Please provide the device trade name(s). | | ? |
| Folding mobility scooter (KD101) | | |
| Please provide your Indications for Use below. | | ? |
| It is a motor driven, indoor and outdoor transportation vehicle with the intended use to provide
mobility to a disabled or elderly person limited to a seated position. | | |
| Please select the types of uses (select one or both, as
applicable). | ☐ Prescription Use (Part 21 CFR 801 Subpart D)
☑ Over-The-Counter Use (21 CFR 801 Subpart C) | ? |
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K252502
# 510(K) Summary
Date prepared: Aug 8,2025
## 1. Submitter
Application Information:
Submitter: Nanjing Kangni Smart Technology Co.,Ltd.
Address: No.4 Gupinggang, Gulou District, Nanjing, China
Manufacturing address: No.11 Hengjing Rd, Economic & Technological Development Zone,
Nanjing, China
Contact name: Yu Huilin
Title: Registered Engineer
Email: yuhl2@kn-nanjing.com
## 2. Device
Device Name: Folding mobility scooter
Model: KD101
Classification: II
Product Code: INI
Regulation: 890.3800
Panel: Motorized three-wheeled vehicle
## 3. Predicate Device
510Knumber: K231428
Device Name: Mobility Scooter
Model: W3431D
Zhejiang Innuovo Rehabilitation Devices Co., Ltd.
## 4. Device Description
The Folding mobility scooter, has a base with metal frame, two front wheels, two rear wheels, a seat, a LED Display, electric motor, electromagnetic brake, 1 rechargeable Lithium Battery pack (with 2 batteries) with an off-board charger. The movement of the scooter is controlled by the rider who operates the control lever. The device is installed with an electromagnetic brake that will engage automatically when the scooter is not in use and the brake cannot be used manually. The Scooter only can be operated on the flat road. The device can be folded up from front to back.
The device has 2 options, with a faucet adjustment or without a faucet adjustment.
## 5. Indication for use
It is a motor driven, indoor and outdoor transportation vehicle with the intended use to provide mobility to a disabled or elderly person limited to a seated position.
## 6. Comparison of technological characteristics with the predicate device
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K252502
| Elements of Comparison | Subject Device | Predicate Device (K231428) | Remark |
| --- | --- | --- | --- |
| Manufacturer | Nanjing Kangni Smart Technology Co.,Ltd. | Zhejiang Innuovo Rehabilitation Devices Co.,Ltd | Same |
| Device name | Folding mobility scooter | Mobility Scooter | Same |
| Model(s) | KD101 | W3431D | -- |
| Indications for use | It is a motor driven, indoor and outdoor transportation vehicle with the intended use to provide mobility to a disabled or elderly person limited to a seated position. | It is a motor driven, indoor and outdoor transportation vehicle with the intended use to provide mobility to a disabled or elderly person limited to a seated position. | Same |
| Overall dimension | With a faucet adjustment:
990mm x 576mm x730mm
Without a faucet adjustment:
970 mm*576mm*705mm | 1020 mm x 500 mm x 840 mm | Similar |
| Frame Material | Steel | Steel | Same |
| Frame style | Foldable tiller, Foldable seat, removable battery pack, disassemble for transport | Foldable seat, removable battery pack, disassemble for transport | Similar |
| Rear Wheels Quantity | 2 | 2 | Same |
| Ground clearance | 25 mm | 45 mm | Similar |
| Max occupant mass | 125kg | 120kg | Same |
| Min Turn Radius | 1400mm | 1650mm | Similar |
| Motor output | 24 V 180W | 24 V 180W | Same |
| Drive System | Rear Wheel Drive | Rear Wheel Drive | Same |
| Brakes | Electromagnetic brake | Electromagnetic brake | Same |
| Battery | Li-ion Battery 24V 6Ah*2 | Lead-acid 12V12Ah*2 | Similar |
| Charger | 24V/2A | 24V/2A | Same |
| Max Speed | 7 km/h | 6 km/h | Similar |
| Max Slope | 8° | 9° | Similar |
| Travel Distance | 15.6 km | 15 km | Similar |
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K252502
| Time to brake | 1 s | 0.7-1s | Similar |
| --- | --- | --- | --- |
| Brake Distance-Normal operation (Horizontal-Forward-Max speed) | ≤1.09m | ≤1.5m | Similar |
| Total mass | With a faucet adjustment:26.6Kg
Without a faucet adjustment:26.15Kg | 42kg | Similar |
| Operating surface & environment | Indoor use and restricted outdoor use on pavements or paved footpaths only. | Indoor use and restricted outdoor use on pavements or paved footpaths only. | Same |
| Remote control | None | None | Same |
| Item | Proposed Device | Predicate Device | Results |
| --- | --- | --- | --- |
| Biocompatibility | All user directly contacting materials are compliance with ISO10993-1 | All user directly contacting materials are compliance with ISO10993-1 | Same |
| EMC | ISO7176-21& IEC 60601-1-2:2014+A1:2020 | ISO7176-21& IEC 60601-1-2:2014+A1:2020 | Same |
| Performance | ISO7176 series | ISO7176 series | Same |
| Label and labeling | Conforms to FDA Regulatory | Conforms to FDA Regulatory | Same |
## Substantial Equivalence Discussion
The proposed device and predicate device are complying to the same ISO standards, ISO 7176-1, ISO 7176-2, ISO 7176-3, ISO 7176-4, ISO 7176-5, ISO 7176-6, ISO 7176-7, ISO 7176-8, ISO 7176-9, ISO 7176-10, ISO 7176-11, ISO 7176-13, ISO 7176-14, ISO 7176-15, ISO 7176-16, ISO 7176-21, ISO 7176-25, and FDA guidance Submission for Scooter.
The proposed device performs in a similar manner to the predicate device. All these tests have corresponding requirements/ control criteria following above mentioned standards. And the test results show that the subject product is substantially equivalent to the predicate device in performance.
The performance testing demonstrates that the subject device is substantially equivalent to the predicate devices regarding Static ability (Scooter tipping angle), The Dynamic stability (Safe Gradient Maximum Gradient), Brake performance, Theoretical distance range, Dimension and weight, Maximum speed, Dimension of wheel Static, impact and fatigue strengths, Climatic tests, Obstacle-climbing ability, Dummy, friction of test surfaces, Power and control systems, Documentation and labeling, Resistance to ignition, Electromagnetic Compatibility and Electrical Safety, Batteries and chargers.
The non-clinical laboratory data support the safety and performance of the subject
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K252502
device and demonstrate that the subject device should perform as intended in the specified use conditions.
## 7. Summary of non-clinical testing
### Performance testing-bench
The following performance data were provided to verify that the subject device met all design specifications and provided support of the substantial equivalence determination
- Software validation
- ISO 7176-1:2014 Wheelchairs - Part 1: Determination of static stability
- ISO 7176-2:2017 Wheelchairs - Part 2: Determination of dynamic stability of electric wheelchairs
- ISO 7176-3:2012 Wheelchairs - Part 3: Determination of effectiveness of brakes
- ISO 7176-4:2008 Wheelchairs - Part 4: Energy consumption of electric wheelchairs and scooters for determination of theoretical distance range
- ISO 7176-5:2008 Wheelchairs - Part 5: Determination of dimensions, mass and maneuvering space
- ISO 7176-6:2018 Wheelchairs - Part 6: Determination of maximum speed, acceleration and deceleration of electric wheelchairs
- ISO 7176-7:1998 Wheelchairs - Part 7: Measurement of seating and wheel dimensions
- ISO 7176-8:2014 Wheelchairs - Part 8: Requirements and test methods for static, impact and fatigue strength
- ISO 7176-9:2009 Wheelchairs - Part 9: Climatic tests for electric wheelchairs
- ISO 7176-10:2008 Wheelchairs - Part 10: Determination of obstacle-climbing ability of electrically powered wheelchairs
- ISO 7176-11:2012 Wheelchairs -- Part 11: Test dummies
- ISO 7176-13:1989 Wheelchairs - Part 13: Determination of coefficient of friction of test surfaces.
- ISO 7176-14:2022 Wheelchairs -- Part 14: Power and control systems for electrically powered wheelchairs and scooters -- Requirements and test methods
- ISO 7176-15:1996 Wheelchairs - Part 15: Requirements for information disclosure, documentation and labeling.
- ISO 16840-10: 2021 Wheelchair seating - Part 10: Resistance to ignition of postural support devices - Requirements and test method
- ISO 7176-21:2009 Wheelchairs - Part 21: Requirements and test methods for electromagnetic compatibility of electrically powered wheelchairs and scooters
- ISO 7176-22: 2014 Wheelchairs - Part 22: Set-up procedures
- ISO 7176-31:2023 Wheelchairs – Lithium-ion Battery systems and chargers for powered wheelchair-Requirements and test methods
- IEC 60601-1-2:2014+A1:2020 Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral Standard: Electromagnetic disturbances - Requirements and tests
### Biocompatibility of patient-contacting material
The biocompatibility of the subject device was determined via the declaration of identical tissue-contacting materials to the predicate device, which evaluated biocompatibility according to the ISO 10993-1.
## 8. Summary of clinical testing
No animal study and clinical studies are available for our device. Clinical testing was not
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K252502
required to demonstrate the substantial equivalence of the electric wheelchair to its predicate device.
## 9. Conclusions
The conclusions drawn from the nonclinical tests demonstrate that the subject device is as safe, as effective, and performs as well as the legally marketed predicate device K231428.
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1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
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Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
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Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
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Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
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Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
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Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
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Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
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Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
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A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
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The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.