CATS is a technology company & has developed wireless sensor network using photonic with laser as source. Couple of Photonic sensor will replace 1000s of on board sensors deployed to address problems such as predictive analysis for preventive maintenance.
CATS is the only company providing single laser Sensor (without glare) that monitors & records various Movement, Force, Pollution, Weather, Vibration, Acceleration, Displacement, Flow, Position, Sound etc. simultaneously.
VEDA is capable of remotely monitoring vibrations and condition of structures simultaneously in the time and frequency domains and displays the displacement, velocity and acceleration of vibrations at even inaccessible locations on a structure.

taraNi is a molecular air data system that was envisaged as a compact, lightweight, cheap, direct detection optical system that can directly measure wind speed and direction, density, pressure and temperature of a body of air, ahead of a moving aircraft - whose operative conditions may vary from speeds ranging from zero to hypersonic, from flight altitudes varying from sea level to 18 kilometers, from flight paths across sea and land. The outcome of the measurements are to be comprehensive air data products:
Laser Light is an innovative indigenous system which is remotely operable with no appendages :-
  • compact
  • lightweight
  • highly cost effective
Laser Light detects optical backscatter characteristics that enable Air Data products :-
  • wind speed and direction,
  • density
  • air pressure (static, dynamic and total) and temperature ahead of a fast moving aircraft
Laser Light can assist in properly controlling the instabilities of the aircraft and facilitate safe navigation by providing information pertaining to :-
  • Angle of Attack (AoA)
  • Angle of Side Slip (AoSS)
Bleed air (air that passes through the engines of a plane, then into cabin)
  • Indoor Air Quality impact passengers. AuM _IAQ can monitor pollutants 20 different types of gases as well as Pathogens, bacteria in air and other biological pollutants in ducts.
  • Aum iaq Monitors For ventilation effectiveness :
    • Basically, there can be four major types of problems with the air quality in the aircraft cabin:
  • not enough oxygen
  • not enough outside air to dilute whatever is in the cabin air
  • a contaminated air supply; and
  • exposure to high concentrations of pesticides on selected routes.
  • All monitoring elements of Pollution monitoring can be done using one AUM Photonic sensor that will :-
    • Identify hotspots and better monitoring air, pathogens and bacteria.
    • Identify clusters of pollutants and analyze data over time in order to understand patterns which will inform policy
    • Indicate areas with particularly bad air quality
  • Aircrafts' high-altitude emissions have a greater global warming impact than they would if the emissions were released at ground level.
  • AUM can measure emission and monitor contrail
    • Aircraft emit staggering amounts of co2, the most prevalent manmade greenhouse gas.
    • In addition to co2, aircraft emit nitrogen oxides, known as nox, which contribute to the formation of ozone, another greenhouse gas. emissions of nox at high altitudes result in greater concentrations of ozone than ground-level emissions.
    • aircraft also emit water vapor at high altitudes, creating condensation trails or contrails" visible cloud lines that form in cold, humid atmospheres and contribute to the warming impacts of aircraft emissions. the persistent formation of contrails is associated with increased cirrus cloud cover, which also warms the earth's surface.
  • Structural health Monitoring : Structural health of aircraft is very important for it being air worthiness.
  • Visual examination limits the determination and distinguishing the extent of damage.
  • The same system can be used to monitor condition and vibration monitoring of Turbines and other moving components.
  • We scan the complete aircraft esp. inaccessible areas. Our system thereby identifies internal damage that cannot be collected by high resolution image.
    • Following are the features of damage data collection.
    • Level 1 : Detection- simply answers the question: is there a damage?
    • Level 2 : Localization- capable of specifying the location of the damage within the structure
    • Level 3 : Assessment- capable of specifying the type and extent of damage
    • Level 4 : Prediction- capable of estimating the remaining useful life (RUL) and safety
  • Recognizing the types of structural defects.
  • Identifies any signs of material deterioration or any signs of structural distress and deformation.
  • Identifies any alteration and addition in the structure, misuse which may result in overloading.
  • Load testing of flexural members to be carried out In case the core test results do not satisfy the requirements.
  • Crack, Damage or overlain with material, Potential / prospective fractures
  • Increasing gaps between disjointed hinges, potential impact areas while landing, etc.
  • Reducing time interval between Diagnosis and Prognosis.
  • Turbine :
    • Vidur is installed on-board in front of engine.
    • Vibration measurements are commonly considered to be a sound indicator of a machine's overall health state (global monitoring)
    • Developed condition monitoring strategy can be applied for detecting excessive vibration levels that can lead to engine component failure.
    • Continuous monitoring of turbine shafts for? torsional vibration
    • CATS machine-learning algorithms do not rely on the quality of the training data but rather adaptively classify the different states/operation condition of the engine examined.
  • Landing Gear :
    Vidur is installed on-board in front of engine.
    • Loading conditions
    • Aircraft mass
    • vertical descent velocity / Sink rate
    • environment (runway conditions, wet runway, crosswind)
    • type of landing (arrested, thrust reversal, brake chute, touch & go)
    • taxi way (length, conditions, curves, velocity)
    • pilot handling and brake application
    • hard landing
    • aircraft orientation (pitch, roll, yaw)
    • aircraft centre of gravity location
    • longitudinal, lateral and vertical acceleration
    • shock absorber servicing state
    • tire-runway friction coefficient
  • SHM in landing gear :
    • brake (temperature, cooling and performance)
    • shock strut
    • actuation monitoring
  • Precise and Sensitive management of AIRCRAFT weight and balance is most critical for both legal and safety purposes.
  • Weight of Aircraft can be calculated and displayed during movement of fleet for:-
    • Takeoff
    • Landing
    • Or in parking bay
  • A small but intelligent device measuring 10 inches by 10 inches installed near the runway or onboard of the Aircraft (say near to landing gear) can measure
    • Weight, Speed, load impact on runway
    • Footfall, Intrusion, Security intelligence and Analytics.
    • & records sound
  • This opens new vista for science in predictive analytics and preventive maintenance.
  • Veda is creating an Array of Things (AoT) that is capable of detecting, locating & classifying following threats in real time. VEDA MONITORS : -
    • Right of Way Interface
    • Ground Strain and Seismic disturbances
    • Geohazards & Forces of Nature
    • Detection of Manual or Mechanical Digging that is Kms away.
    • Remoteness of any moving platform can be detected with a geolocation at a distance reaching upto 15Kms.
  • Once an intrusion is detected bythe Photonic system, the intel is sent to Command and Control which can direct the long range cameras to the Geo POSITION OF INTRUSION so as to get live feed.
  • This lethal combination of Photonics and Image processing and analytics enables user to benefit from True potential in Vistas of :-
    • Perimeter Protections and Surveillance around the individual Aircraft.
    • Counting, Tracking, detecting and distinguishing objects for Statistical purpose
  • What will ultimately shape the breadth and speed at which AEROSPACE becomes omnipresent and impactful is not with suite of thousands of sensors but a single light beam sensor providing real time, accurate and sensitive data.
  • Now with the implementation of AI,aircraft companies can predict potential maintenance failures on aircraft before any mishaps occur.
  • CATS IIoT plays a significant role in aircraft maintenance. The aircraft maintenance companies or MRO can use CATS IIOT consortium of photonic sensors and data analytics for higher efficiency and less downtime for aircraft.
  • The inside data from IIoT Photonic sensors gives an insight into problems which can be easily detected.
  • This data will also help predict issues which could otherwise be more prominent. It will also result in in fewer maintenance delays and overall improved flight safety.
  • The Photonic technology works as another set of eyes and ears for pilots.
  • CATS AI will provide predictions for components that are in bad shape and could stop working in the future. It will help in preventive inspection or replacement before the component failure can happen and will reduce the costs of maintenance as well as increasing safety while flying.
  • Consortium of CATS Photonic Sensors will be able to determine when planes actually need maintenance instead of just following historical maintenance schedules. Hence the practice of Differed maintenance can be avoided.
  • That obviously makes flying planes safer for passengers - and could reduce the time lost on the tarmac accounting for last-minute mechanical failures in planes.
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