Lesson 1Trip segmentation and geo-fence events: start/stop detection, dwell time, zone entry/exitDis one explain how raw location points dem dey group into trips and stops using speed, ignition, and geofences. E cover start and stop detection, dwell time, zone entry and exit events, and configuration trade-offs for different fleets.
Trip start and stop detection logicStop and dwell time computationGeofence types and shape modelingZone entry, exit, and dwell eventsTuning thresholds for use casesLesson 2Vehicle diagnostics and fault codes (DTCs): reading, interpreting, and priority mappingDis section explore vehicle diagnostics and DTCs, including how codes dem dey read, interpret, and prioritize dem. E cover standard and manufacturer-specific codes, severity mapping, and workflows for maintenance and remote troubleshooting.
OBD-II and J1939 DTC formatsReading and clearing fault codesMapping codes to componentsSeverity and priority classificationMaintenance and alert workflowsLesson 3Engine parameters via OBD-II/CAN: fuel level, fuel consumption, RPM, engine hoursDis one explore engine data from OBD-II and CAN, including fuel level, fuel use, RPM, and engine hours. E explain how dis parameters dem dey acquire, normalize, and use for maintenance, efficiency analysis, and driver behavior insights.
OBD-II and CAN bus basicsSupported PIDs and parameter mappingFuel level and fuel consumption modelsRPM, load, and engine hours usageNormalization across vehicle brandsLesson 4Vehicle speed and heading: sources, accuracy, and sampling considerationsDis detail vehicle speed and heading fields, dem sources, and sampling strategies. E compare GNSS speed with wheel-based signals, discuss heading smoothing, and explain how dis metrics dem support safety, routing, and analytics.
GNSS versus vehicle bus speedHeading, course over ground, and bearingSampling rate and aliasing issuesSpeed smoothing and spike removalUse in routing, safety, and scoringLesson 5Auxiliary sensors and inputs: temperature sensors, cargo sensors, PTO, seatbelt statusDis examine auxiliary sensors and digital inputs, including temperature, cargo, PTO, and seatbelt status. E explain wiring, calibration, and how dis signals dem enrich telematics data for cold chain, safety, and utilization analytics.
Digital and analog input wiringTemperature and cold chain monitoringCargo and door cargo sensorsPTO engagement and work hoursSeatbelt and safety interlocksLesson 6Door status, ignition on/off, and odometer: uses for utilization and billingDis cover door, ignition, and odometer signals and how dem support utilization, billing, and security. E explain signal sources, debouncing, tamper detection, and combining events with GPS data to derive trips and usage metrics.
Ignition sources and on/off detectionDoor open/close and security use casesOdometer sources and drift handlingTrip-based utilization and billingTamper and misuse detection rulesLesson 7Global Navigation Satellite System (GNSS) principles and position fixes (latitude, longitude, timestamp)Dis introduce GNSS fundamentals and how receivers dem dey compute position, time, and velocity. E detail latitude, longitude, altitude, and timestamp fields, plus dilution of precision, fix quality, and multi-constellation benefits for telematics.
GNSS constellations and signalsTime-of-flight and trilateration basicsLatitude, longitude, and altitude fieldsFix quality, DOP, and satellites usedTimestamping and time synchronizationLesson 8Data quality attributes: timestamps, sampling interval, accuracy, precision, and plausibility checksDis focus on data quality for telematics streams, including timestamps, sampling intervals, accuracy, precision, and plausibility checks. E show how to detect gaps, noise, and impossible values to improve analytics and reporting.
Timestamp sources and clock driftSampling interval and resamplingAccuracy, precision, and resolutionOutlier and plausibility detectionHandling gaps and corrupted recordsLesson 9Accelerometer and event detection: harsh braking, acceleration, cornering, rolloverDis describe accelerometer data and how events like harsh braking, acceleration, cornering, and rollover dem dey detect. E cover axes, calibration, filtering, thresholds, and mapping events to safety scores and alerts.
Accelerometer axes and orientationFiltering noise and sensor driftHarsh braking and acceleration rulesCornering and lateral g-force eventsRollover detection and crash flagsLesson 10Driver ID and driver log integration: linking events to drivers and duty timesDis explain how driver identification and logs dem dey integrate with telematics data. E cover keyfobs, RFID, and app-based IDs, linking events to drivers, duty and rest times, and compliance with hours-of-service regulations.
Driver ID methods and hardwarePairing drivers with vehiclesLinking events to specific driversDuty status and hours-of-serviceReporting and compliance audits
