The Infrared Forehead Thermometer (Model: T80、T81、T82、T83、T84、T85) is a non-contact thermometer used to measurement forehead temperature at home or hospital. The device is indicated for use on people of all ages except for neonates/newborns.
Device Story
Non-contact infrared thermometer; measures infrared energy radiated from forehead. Thermopile sensor collects energy; converts to analog signals; MCU with AD converter analyzes signals to calculate temperature. User operates via 4 buttons (Setting, Memory, ON/OFF, Measurement Trigger); LCD displays results. Used in home or hospital by patients or clinicians. Provides rapid temperature readings; aids in fever detection/monitoring. Benefits include non-invasive, hygienic temperature assessment.
Clinical Evidence
Clinical study evaluated 150 subjects across three age groups (infants <1yr, children 1-5yrs, adults >5yrs; n=50 per group). 30% of subjects had temperatures ≥37.5°C. Evaluated per ISO 80601-2-56 for clinical bias and repeatability. Results confirm accuracy within acceptable limits per ISO 80601-2-56 and ASTM E1965-98.
Technological Characteristics
Thermopile infrared sensor; MCU-based signal processing; LCD display; 3.0V DC (2xAA batteries). Materials evaluated for biocompatibility per ISO 10993-5/10. Standards: ASTM E1965-98, IEC 60601-1, IEC 60601-1-2, IEC 60601-1-11, ISO 80601-2-56, IEC 62304.
Indications for Use
Indicated for non-contact forehead temperature measurement in home or hospital settings for all ages, excluding neonates/newborns.
Regulatory Classification
Identification
A clinical electronic thermometer is a device used to measure the body temperature of a patient by means of a transducer coupled with an electronic signal amplification, conditioning, and display unit. The transducer may be in a detachable probe with or without a disposable cover.
Special Controls
(1) Device is not a clinical thermometer with telethermographic functions;
(2) Device is not a clinical thermometer with continuous temperature measurement functions; and
(3) Appropriate analysis and testing (such as that outlined in the currently FDA-recognized editions, as appropriate, of ISO 80601-2-56, “Medical electrical equipment—Part 2-56: Particular requirements for basic safety and essential performance of clinical thermometers for body temperature measurement,” or ASTM E1965, “Standard Specification for Infrared Thermometers for Intermittent Determination of Patient Temperature,” or ASTM E1112, “Standard Specification for Electronic Thermometer for Intermittent Determination of Patient Temperature,” or ASTM E1104, “Standard Specification for Clinical Thermometer Probe Covers and Sheaths”) must validate specifications and performance of the device.
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June 4, 2021
Guandong Genial Technology CO., LIMITED % Jet Li Regulation Manager Guangzhou KINDA Biology Technology Co., Ltd. 6F, No.1 TianTai road, Science City, LuoGang District Guangzhou, Guangdong China
Re: K210014
Trade/Device Name: Infrared Forehead Thermometer (Model: T80, T81, T82, T83, T84, T85) Regulation Number: 21 CFR 880.2910 Regulation Name: Clinical Electronic Thermometer Regulatory Class: Class II Product Code: FLL Dated: April 19, 2021 Received: May 4, 2021
Dear Jet 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 (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 located 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.
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
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requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (OS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 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-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/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-device-advice-comprehensive-regulatoryassistance/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).
Sincerely,
Payal Patel Acting Assistant Director DHT3C: Division of Drug Delivery and General Hospital Devices. and Human Factors OHT3: Office of GastroRenal, ObGyn, General Hospital and Urology Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K210014
Device Name
Infrared Forehead Thermometer (Model: T80、T81、T82、T83、T84、T85)
Indications for Use (Describe)
The Infrared Forehead Thermometer (Model: T80、T81、T82、T83、T84、T85) is a non-contact thermometer used to measurement forehead temperature at home or hospital. The device is indicated for use on people of all ages except for neonates/newborns.
| Type of Use (Select one or both, as applicable) |
|-------------------------------------------------|
|-------------------------------------------------|
Prescription Use (Part 21 CFR 801 Subpart D)
X Over-The-Counter Use (21 CFR 801 Subpart C)
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# 510(k) Summary K210014
This summary of 510(k) safety and effectiveness information is being submitted in accordance with the requirements of 21 CFR 807.92.
#### Submitter Information 1.
## Sponsor Company Name: GUANGDONG GENIAL TECHNOLOGY CO., LIMITED.
Establishment Registration Number: Applying
- � Address: 1-6-05-02, 11th Road, Area B, Guangfozhao Economic Cooperation Zone, Zhagang Town, Huaiji County, Zhaoging City, Guangdong, 526437, China
- Phone: +86-020-37236838 �
Fax: +86-020-37236838
- Contact Person (including title): Jun Yu (General Manager) �
- E-mail: admin@genial.cn �
## Application Correspondent: Guangzhou KINDA Biology Technology Co., Ltd.
- Address: 6F, No.1 TianTairoad, Science City, LuoGangDistrict, GuangZhouCity, China �
- Contact Person: Mr. JetLi �
- � Tile: Regulation Manager
- � Tel: +86-18588874857
- Email: med-jl@foxmail.com �
### 3 Subject Device Information:
- � Type of 510(k) submission: Traditional
- � Common Name: Infrared Forehead Thermometer
- � Trade Name: Infrared Forehead Thermometer(Model: T80、T81、T82、T83、T84、T85)
- � Classification Name: Clinical Electronic Thermometer
- � Review Panel: General Hospital
- � Product Code: FLL
- � Regulation Number: 21 CFR880.2910
- � Regulation Class: 2
### 4 Predicate Device Information:
- Sponsor: Dongguan SIMZO Electronic TechnologyCo.Ltd. �
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- � Trade Name: Non-contact Forehead Thermometer
- � 510(k) number: K173048
- � Review Panel: General Hospital
- � Product Code: FLL
- � Regulation Number: 21 CFR880.2910
- � RequlationClass: 2
### 2. Device Description
The Infrared Forehead Thermometer (Model: T80、T81、T84、T84、T85) is an electronic thermometer using an infrared sensor to measure infrared energy radiated from the forehead. This energy is collected through the lens and converted to a temperature value.
The Infrared Forehead Thermometer (Model: T80、T81、T84、T85),consists of the following parts:
- a) Thermopile Sensor
- b) Application-Specific Integrated Circuitry
- c) Erasable Programmable Read-Only Memory Integrated Circuit
- d) Capacitance-touch Integrated Circuit
- e) LCD and Backlight
- f) 4 buttons (Setting button, Memory button, ON/OFF button, Measurement Trigger)
- g) 2×1.5V AA dry batteries
The operation principle is based on Infrared Sensor technology. The sensor can turn body's temperature to analog signals, and a MCU with an AD can get the result by intelligent analyze and treat the analog signals.
### 3. Intended Use
The Infrared Forehead Thermometer (Model: T80、T81、T82、T83、T84、T85) is a non-contact thermometer used to measurement forehead temperature at home or hospital. The device is indicated for use on people of all ages except for neonates/newborns.
### 4. Test Summary
Infrared Forehead Thermometer conforms to applicable standards that include:
- � ASTM E 1965-98 Standard Specification for Infrared Thermometers for Intermittent Determination of Patient Temperature
- � IEC 60601-1:2012, Medical Electrical Equipment - Part 1: General Requirements for Basic Safety and Essential Performance
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- � IEC 60601-1-2:2014, Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral standard: Electromagnetic compatibility
- � IEC 62304:2006+AMD1:2015 Medical Device Software -Software Life Cycle Processes
- � IEC60601-1-11:2015 medical electrical equipment - part 1-11: general requirements for basic safety
- � and essential performance - collateral standard: requirements for medical electrical equipment and medical electrical systems used in the home healthcare environment
- � ISO 80601-2-56:2017/AMD 1:2018 Medical electrical equipment - part 2-56: particular requirements f or basic safety and essential performance of clinical thermometers for body temperature measurement
- � ISO 10993-5:2009, Biological evaluation of medical devices -- Part 5: Tests for In Vitro cytotoxicity,
- � ISO 10993-10:2010, Biological evaluation of medical devices -- Part 10: Tests for irritation and skin sensitization
#### 5. Comparison to Predicate Device
Compare with predicate device, the subject device is very similar in design principle, intended use, sensor, measurement mode, measuring range, accuracy and the applicable standards. The differences between subject device and predicate device do not raise and new questions of safety or effectiveness.
| Elements of<br>Comparison | Subject Device | Predicate Device | Verdict |
|-----------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------|
| Manufacturer | GUANGDONG GENIAL<br>TECHNOLOGY CO., LIMITED. | Dongguan SIMZO Electronic<br>Technology Co.Ltd. | -- |
| 510 (k) Number | K210014 | K173048 | -- |
| Product Name | Infrared Forehead Thermometer | Non-contact Forehead<br>Thermometer | -- |
| Models | Model: T80、T81、T82、T83、<br>T84、T85 | HW-2/HW-2S/HW-3/HW-4 /HW-<br>4S/HW-302/HW-303 | -- |
| Intended Use | The Infrared Forehead<br>Thermometer (Model: T80、T81、<br>T82、T83、T84、T85) is a non-<br>contact thermometer used to<br>measurement forehead temperature<br>at home or hospital. The device is<br>indicated for use on people of all<br>ages except for neonates/newborns | The Non-contact Forehead<br>Thermometer is an infrared<br>thermometer intended for the<br>intermittent measurement of human<br>body temperature in people of all<br>ages. | Note 1 |
| Sensor | Infrared Sensor | Infrared Sensor | SE |
| Measurement<br>Mode | Forehead measurement Mode | Forehead measurement Mode | SE |
| Measurement<br>type | Non-contact type | Non-contact type | SE |
| Measurement<br>method | Infrared radiation detection | Infrared radiation detection | SE |
| Elements of<br>Comparison | Subject Device | Predicate Device | Verdict |
| Measurement<br>time | <3S | 1S | Note 2 |
| Measurement<br>Distance | 1-5cm | HW-2/HW-2S/HW-3/HW-302/ HW-<br>303:5-8cm HW-4/HW-4S:1-2cm | Note 3 |
| Measuring<br>Range | 32°C ~ 42.9°C (89.6°F ~ 109.2°F) | Forehead mode: 35.5°C ~42.9°C<br>(95.9°F ~109.2°F) | Note 4 |
| Accuracy | Forehead mode: ±0.2°C , for<br>range 35.0°C ~ 42.0°C (95.9°F<br>~109.2°F);<br>±0.3°C (0.5°F),for the range<br>32°C - 34.9°C (89.6°F -94.8°F)<br>and 42.1-42.9°C (107.8°F -<br>109.2°F) | Forehead mode:<br>±0.2°C (0.4°F) within 35.5°C<br>~42.9°C<br>(95.9°F ~109.2°F),<br>±0.3°C(0.5°F) other range | Note 5 |
| Display<br>Resolution | 0.1℃/0.1°F | 0.1℃/0.1°F | SE |
| Sensor type | Thermopile | Thermopile | SE |
| High<br>temperature hint | Yes | Yes | SE |
| Buzzer | Yes | Yes | SE |
| Display screen | LCD | LCD | SE |
| Auto power-off<br>while no<br>operation | Yes | Yes | SE |
| °C/°F switchable | Yes | Yes | SE |
| Memory | 32 sets | HW-2/2S:32 sets<br>HW-3/4/4S: 1 set<br>HW-302/303:64 Sets | Note 6 |
| Power Supply | 3.0V DC, offered by two AA<br>batteries | 2 x AAA | Note 7 |
| Operating<br>Conditions | Temperature: 15°C ~ 40°C (60.8°F<br>~ 95°F)<br>Relative humidity: ≤85% RH | 10~40°C(50°F ~104 °F) RH < 85% | Note 8 |
| Storage<br>Conditions | Temperature: -20°C ~55°C (-4°F ~<br>131°F)<br>Relative humidity: ≤93%RH,non-<br>condensing | -25°C - +55°C (-13° F-+131° F)<br>RH≤90% | Note 8 |
| Dimension | 150(L) x 48(W) x 105(H) mm | 93*153*41mm | Similar |
| Weight | Approximately 125 g | 90-125 g | Similar |
| Conformance<br>standard | EN60601-1(Safety), IEC60601-1-<br>2(EMC) ASTME1965-<br>98(performance) | EN60601-1(Safety), IEC60601-1-<br>2(EMC) ASTME1965-<br>98(performance) | SE |
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Note 1
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Even there is minor difference subject group difference between subject device and predicate device, but the labelling had provided detail statement for applicable subject group. This difference does not affect the safety and effectiveness.
### Note 2
Measurement time of the subject devices is ≤ 3S , the predicate device's will be 1S. But both of them are complied with ASTM E 1965 and the measure time will not affect the measurement accuracy. This difference does not affect thesafety and effectiveness.
### Note 3
Measurement distance of the subject devices is 1-5cm, the predicate device's will be in the range of 5-8cm or 1-2cm. But the performance test result of subject device shows the accuracy meets the requirements within thedistance range.
### Note 4
Although there is little difference for the contact type of the subject device and predicate device, both of them are complied with ASTM E 1965 . This difference does not affect the safety and effectiveness.
### Note 5
Both devices have different measurement range, but they have the same accuracy and the measurement range of subject devices meet the requirements of ASTME 1965-98.
### Note 6
The memory capacity of predicate devices (HW-3/4/4S,HW-302/303)are difference from subject
devices ,but that does not impact the performance of subject devices.
### Note 7
Although the battery size between the predicate device and subject device is different, the power requirements are similar (voltage outputs are the same), and both of them are complied with IEC 60601-1. This difference does not affect thesafety and effectiveness.
## Note 8
There is minor difference on operation environment and storage condition between predicate device and subject device, but both device comply with IEC60601-1-11 and ASTM E1965, so This difference does not affect the safety and effectiveness.
#### Summary of Clinical Test 6.
Clinical tests were conducted on Model: T80、T81、T82、T85、The study excluded subjects with medical conditions such as inflammation at the measuring sites and subjects using medications known to affect body temperature. The clinical tests evaluated 150 subjects which were divided into three group age ranges-Infants (less than 1 year), children (1 to 5 years old)and adult (greater than 5 years old). No less than 50 subjects in each group and 30% of them got temperature equaling or exceeding 37.5℃.
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The clinical accuracy of the proposed device was evaluated by ISO 80601-2-56 - clinical bias with stated uncertainty and clinical repeatability. The clinical test results showed that the accuracy of the proposed device is within acceptable scope specified in ISO 81061-2-56.
Based on the result, the clinical performance of the subject device complied with the requirement of ASTM E1965-98 (2016).
### 7. Conclusion
The subject device Infrared Forehead Thermometer has all features of the predicate device. The few differences do not affect the safety and effectiveness of the subject device. Thus, the subject device is substantially equivalent to the predicate device.
# 8. Summary Prepared Date
28 May 2021
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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 vs. fuzzy search: what's the difference?
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).
2. The results table
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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Reading rule for every project: how many summaries do you read in full?
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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.
What does the side-by-side PDF viewer mode do?
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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Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
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Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
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Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
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.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
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.