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Multi-Function Video Intelligent Helmet Red with Positioning and Communication Features

Price	$429.00 Compare
Min Order	1 Piece
Shipping From	Beijing, China
Popularity	267 people viewed
Quantity	+-

Beijing Fanshine Intelligent Technology Co., Ltd.

Audited Supplier 1 year

Profile Certified by SGS/BV

Beijing, China
Bonny Zhang (Ms.)
Manager

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Product Detail

Model NO.:

N2

Type:

T Type

Material:

ABS

Application:

Petroleum, Chemical, Construction, Metallurgy, Electric Power Industry, Transportation

Hoop Size:

Adjustable

Certification:

DOT, FDA, CE, ISO, FCC, RoHS, GB 2811-2007

Wear Mode:

Knob Type

Color:

Red

CPU:

Eight-Core Arm Cortex-A53 64-Bit Processor

Operating System:

Android 9.0

Store:

2GB+ 16GB

Positioning:

Support

Camera:

1600 W Camera

Weight:

About 600g

Transport Package:

Carton

Specification:

L/W/H: 289 * 233 * 150mm

Origin:

China

Product Description

Video Intelligent Helmet N2

The Video Intelligent Helmet N2 by E Grace Technology (Beijing) Co., Ltd. is a marvel of modern engineering. This state-of-the-art helmet seamlessly integrates a high-definition camera, advanced voice communication system, and sophisticated motherboard modules. It boasts an array of features including high-definition video capture, crystal-clear voice communication, and intercom capabilities. Additionally, it offers local video storage and supports 4G communication modules, dual-mode BDS/GPS positioning, and WiFi connectivity. The helmet is equipped with a powerful 1600W camera with autofocus functionality, delivering stunning 1080p HD video quality. It also includes a robust 8-core CPU and comes with 2 + 16G storage. Designed with an intrinsically safe explosion-proof battery, this helmet functions efficiently in extreme temperatures ranging from -30 to 60 degrees Celsius. Its versatile applications span across various industries such as rescue and disaster relief, railway maintenance, oil drilling, chemical energy, factories, mines, wharfs, coal mining, municipal construction, and power construction inspection.

Product Parameters

*Name*	*Parameter*
CPU	Qualcomm	Eight-core ARM Cortex-A53 64-bit processor
Operating System		Android 9.0
Store	ROM+ RAM	2GB+ 16GB
Camera assembly	Camera	1600 W camera
	Sensor	SONY IMX298
	Laser positioner	Red laser
	Led light	110 lumens
	Flash	Support
Audio	Microphone	2-channel analog input: MIC1(1 channel is noise-reducing microphone), MIC2
	Speaker	2-channel analog output: speaker and earphone
Communication	4G	Support all Netcom/nano cards
Frequency band information	LTE-FDD	B1/B3/B5/B8
	LTE-TDD	B34/B38/B39/B40/B41
	WCDMA	B1/B8
	EVDO/CDMA	BCO
	GSM/EDGE	900/1800 MHz
LTE Cat 6	LTE-FDD	Transmission Rate (mbps) 300 (DL)/50 (UL)
	LTE-TDD	Transmission Rate (mbps) 265 (DL)/35 (UL)
Wireless	WiFi	2.4 GHz, 802.11 B/G/n or 2.4/5 GHz, 802.11 a/B/G/n/AC
	Bluetooth	2.1+EDR/3.0/4.1 LE/4.2 BLE
Antenna	Antenna	× 4, main antenna, diversity antenna, GNSS antenna and Wi-Fi & Bluetooth antenna interface
Positioning	GNSS positioning	Supports GPS, GLONASS, BDS and Galileo
		Integrated UWB positioning chip (optional)
		Integrated RTK positioning chip (optional)
Interface	Data and charging ports	Type-C interface
	SIM Card slot	nano cards
	TF Card slot	256GB
Battery	Battery specifications	Capacity: 5000mAh
Temperature range	Operating temperature	-30°C~+60°C
Hard hat	Weight	About 600g
	Size	L/W/H: 289 * 233 * 150mm
	IP rating	IP65
	Impact absorption	Designed in accordance with GB/T2811-2019
	Material	ABS
	Expiration date	30 months
Certification	Certification specifications	Model
	Safety helmet certification	GB2811-2019 Safety Helmet Certification
	Dust explosion-proof	Ex ia IIc T4 Gb
	Gas explosion-proof	Ex ia IIIC T130ºC Db
	Coal Safety Certification	Ex ib I Mb
	CE certification
Test report		Electromagnetic Compatibility SAR Test Report
		Battery Explosion-proof Test Report
		20 KV Insulation Test Report of Intelligent Safety Helmet
		Intelligent Safety Helmet EEG Test Report
Patent		Safety Helmet Design Patent
		An EEG Information Monitoring Device for Intelligent Safety Helmet A Height Information Monitoring Device for Intelligent Safety Helmet
		An Ergonomic Multi-Protection Module Device for Intelligent Safety Helmet
		A device for detecting the state of taking off and putting on an intelligent safety helmet

Product Structure

Serial number	Name	Action
1	Headphone connector	External earphone
2	SIM card slot	Insert the SIM card
3	Speaker	Audio output
4	USB port	Charge, data transfer
5	Power on/off	Switch on/off
6	SOS	Long press emergency call Short press state detection
7	Talk back	PTT voice call
8	Dispatch	Call the dispatcher
9	Filming	Short press to take photos Long press to record
10	Illuminated	Lighting on/off

Product Advantages

1600W HD autofocus camera, supporting 1080P

Night light illumination, laser-assisted positioning
Lighting supplement ensures night operation, and laser positioning shooting is more accurate.

Long standby, long endurance

Long working hours, 8-9 hours video return.

High-fidelity clear call, noise reduction microphone
Noise-reducing microphone, supporting access to 3.5mm headphones, to adapt to a variety of complex field environments.

Remote management is portable and efficient
Remotely upgradeable version, configuration parameters.

Extended Functions

Face recognition: The face database is deployed in the intelligent helmet in the form of feature code to realize face recognition and authentication.

Personnel take off their hats to alarm

Brain wave detection: Detect and analyze the information of brain waves, and support the
detection functions of waking, taking off the hat, sleeping, fatigue and syncope.

Near-current alarm

Temperature and humidity detection

Fall alarm

Silent alarm

Toxic gas detection: cooperate with the toxic gas detection module to collect and upload toxic gas.

High-precision positioning module: UWB/RTK positioning chip is integrated to achieve
centimeter-level high-precision positioning with the positioning base station.
Optional customized expansion modules: high-precision positioning, EEG detection, temperature and humidity monitoring, dangerous gas detection, face recognition, near electric induction, fall alarm, cap off alarm, etc.

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