Smart Video Intelligent Helmet Featuring Android 9.0 and High-Definition Camera

Type: T Type
Material: ABS
Application: Petroleum, Chemical, Construction, Metallurgy, Electric Power Industry, Transportation

Products Details

  • Overview
  • Overview
  • Product Parameters
  • Product Structure
  • Our Advantages
  • Extended Functions
Overview

Basic Info.

Model NO.
T1-L
Hoop Size
Adjustable
Certification
DOT, FDA, CE, ISO, FCC, RoHS, GB 2811-2007
Wear Mode
Knob Type
Color
Red
Brand
E Grace Technology
CPU
Eight-Core Arm Cortex-A53 64-Bit Processor
Operating System
Android 9.0
Store
1GB+ 8GB
Positioning
Support
Camera
1300 W Camera
Weight
About 600g
Transport Package
Carton
Specification
L/W/H: 289 * 233 * 150mm
Origin
China

Product Description

Overview

Video Intelligent Helmet T1-L

Smart Video Intelligent Helmet Featuring Android 9.0 and High-Definition Camera
Smart Video Intelligent Helmet Featuring Android 9.0 and High-Definition Camera

The Video Intelligent Helmet T1-L from E Grace Technology (Beijing) Co., Ltd., brings cutting-edge integration by combining a high-definition camera, voice communication, and advanced motherboard modules. This innovative helmet offers a plethora of features including HD video recording, seamless voice communication, and local video storage. It supports 4G communication, BDS/GPS dual-mode positioning, and WiFi connectivity. Equipped with a 1300W camera, it offers autofocus capabilities and delivers stunning 1080p HD video. With 1 + 8G storage and a robust 4-core CPU, it ensures smooth performance. The intrinsically safe explosion-proof battery supports low-temperature operations, functioning efficiently between -30 to 60 degrees Celsius. Its versatile applications span across various sectors including rescue and disaster relief, railway maintenance, oil drilling, chemical energy, factories, mines, wharfs, mining, coal industry, municipal construction, and power construction inspections.
Product Parameters

Product Parameters

Name Parameter
CPU Qualcomm 4-core ARM Cortex-A53 64-bit processor
Operating System   Android 9.0
Store ROM+ RAM 1GB+ 8GB
Camera assembly Camera 1300 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

Product Structure

Smart Video Intelligent Helmet Featuring Android 9.0 and High-Definition Camera
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

Our Advantages

Product Advantages
1300W 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

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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