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Smart-city sensing and data-driven decisions

With Murata, REKA localised a traffic-counting sensing system in Malaysia. Deployed in Cyberjaya, its data was turned into useful information for the Sepang Municipal Council, so planners and agencies could make more informed decisions.

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REKA archive. Official archived Murata Traffic Counter System video poster, not a new installation photograph or proof of the pictured aerial location.Archive video poster

Traffic intelligence that counts vehicles, not people

The system takes raw data from Murata’s sensors, which REKA analyses in real time. It classifies vehicles by class, counts them and records CO2 emission within the sensor’s coverage, and it does not detect anyone inside a vehicle.

From sensor to council: Murata traffic sensing Murata’s traffic sensors, deployed in Cyberjaya, send raw data to REKA, which analyses it in real time: vehicle class, number of vehicles and CO₂ within each sensor’s coverage. The data is prepared for the Sepang Municipal Council and used by planners and agencies for more informed decisions. It also gives the digital advertising sector real-time traffic information. The sensor counts vehicles and their speed, never the people inside them. counts vehicles and their speed,never the people inside them MurataTraffic sensorsdeployed in Cyberjaya REKAReal-time analysisanalysed as it arrives vehicle classnumber of vehiclesCO₂ within coverage Prepared forSepang MunicipalCouncil smart-city initiatives,planning for developing areas Used byPlanners and agenciesmore informed decisions about the areas they develop Digital advertisingreal-time traffic information From sensor to council: Murata traffic sensing Murata’s traffic sensors in Cyberjaya send raw data to REKA for real-time analysis; the data is prepared for the Sepang Municipal Council and used by planners and agencies, and also serves digital advertising. It counts vehicles, never the people inside them. counts vehicles,never the peopleinside them MurataTraffic sensorsdeployed in Cyberjaya REKAReal-time analysisvehicle class · count · CO₂ Prepared forSepang MunicipalCouncil Used byPlanners and agenciesmore informed decisions Digital advertisingreal-time traffic information

ReadoutFrom sensor to council. Hover or tap a part to read what it does.

“Real-time data is the most important piece of information that agencies require today.”

Amri Mohd Din, COO of REKA, in 2021
AI-generated illustration. Wide photograph of two fictional Malaysian adult planning professionals in a modest bright office, leaning over a large printed generic road-junction map on a meeting table. One points at a junction while the other writes in a notebook; the printed map has abstract roads only and no readable place names, labels or figures. The photograph is taken obliquely from table height with hands and map in focus, natural window light, everyday public-planning work. No government symbols, insignia, agency identity, real staff or named council, no invented software screen. AI-generated illustrative photograph, not actual REKA staff, a named client, agency, historical event or deployment.Illustrative scene · not a council photograph

Proved during the pandemic

During the movement control order, the data showed vehicles on the road falling from 1,521,041 to 369,956. Local authorities could use it to decide the measures needed to curb the spread of the virus. The system is expanding across the region.

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Vehicles on the road

Counted in the sensor data, Cyberjaya

Vehicles counted in Cyberjaya, before and during the MCO The sensor data counted 1,521,041 vehicles before the Movement Control Order and 369,956 during it, about 76% fewer. Before the MCO 1,521,041 76% fewer During the MCO 369,956 Vehicles counted in Cyberjaya, before and during the MCO The sensor data counted 1,521,041 vehicles before the Movement Control Order and 369,956 during it, about 76% fewer. Before the MCO1,521,041 76% fewer During the MCO369,956

ReadoutVehicles counted in Cyberjaya: 1,521,041 before the MCO, 369,956 during it.

Beyond traffic: sensing the city

The sensors and edge computing built for our self-driving car went into smart-city sensing with Murata, and into crowd analytics across Malaysia, Thailand and Vietnam, work recognised by Frost & Sullivan in 2022.

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Where we help the public sector

Wherever there’s repetitive work, scattered data or physical assets to track, we help: sense what is happening, understand it, and act on it, safely and at scale.

Data that stays where it should

AI-generated illustration. Environmental photograph inside a modest ordinary on-premises server room: a fictional Malaysian adult IT technician in a plain short-sleeved shirt checks a neatly organised external patch panel with a handheld cable tester while a second fictional adult colleague holds a closed laptop. Both safely on the floor with all rack doors secured, realistic cabling, no contact with power systems, no readable labels or displays. Camera inside the room at the far end looking diagonally toward the technicians, different from the earlier doorway consultant scene. No agency logo or identity, no actual government deployment implied. AI-generated illustrative photograph, not actual REKA staff, a named client, agency, historical event or deployment.
  • Inside your walls

    When data can’t leave your environment, we run the AI on your hardware or ours, on-prem.

  • No faces

    PLExyz counts people and never identifies them. No video ever exists.

  • Vehicles, not people

    The traffic sensor counts vehicles and does not detect anyone inside them.

  • Open to inspection

    Our autonomy stack is built on Autoware: every layer can be opened, examined and replaced.

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One partner, from plan to running system

Advise, build, automate and run: start at whichever step you need, with the same team throughout.

  1. AdviseConsulting & AdvisoryFind the right move before you spend, including digital transformation (DX).
  2. BuildCustom Build & R&DBuild what doesn’t exist yet, and hand it over in production.
  3. Automate and runIntelligent AutomationTake the busywork off your team, then run and improve it as Managed AI.

The capabilities behind this