Case Study MHE Safety System
HACKLAB’s unique modular AIoT based SAFFR™ MHE SAFETY SYSTEMS
At A
Glance
Challenges Faced
Benefits Reaped by SAFFR™ Devices
- Only authorised operator is driving the MHE
- Get all the real time working hour data of machine
- Safety heat map of plant for MHE's movement
- Ensuring speed violator operator
- Location Tracking of machine
- Speed Limit Compliance of MHE's
- Ensure Authorized operator only operate
- Running Hour & Idle time calculation
- Machine and Operator Profiling
Objectives
This case study shows implementation of IoT and AI based Hacklab's solutions help Hindalco Taloja plant to acahieve authorised operators access to the MHE's and get to know the productivity of machines.
Solutions
We had installed state of the art developed IoT and AI based following hardware on the machines to achieve the desired results
PDB- Master Control Unit
Bio metric Access Control Unit
TRAKR GPS Unit
CAN Logger Unit
Connectivity Module Unit
What Our ALOT Unit's Do ?
PDB- Master Control Unit
PDB/MCU analyse all the data's, information and inputs from various sensors and takes the desired action to ensure the safety and alerting the operator.
Biometric Access Control Unit
This unit have three types of access control systems i.e Keypad, RFID and Biometric to ensure only authorised and trained operator is driving the vehicle which helps us in reducing the chances of accidents by 90%.
TRAKR GPS Unit
TRAKR GPS Unit helps us in mapping the safety heat map of MHE movement area which helps us in knowing the frequent region of plant majority of violations are happening also get to know the over speeding of machines.
DATA Logger Unit
CAN Logger keeps the records of all the events happening with machine.
DATA Gateway Unit
This unit sends all the CAN Logger's recorded data to cloud for analysis and make its visibility possible to dashboard and for daily MHE productivity report.
