Each topic below explains the evidence, the business problem it creates, how GLOBEIR solves it, the benefits to your organisation, and how your data stays private and secure.
1. Live Tracking Systems
What it is and how it works. A positioning receiver (GPS, other GNSS constellations, or India's NavIC) is fitted to a moving asset. It sends position, speed and status over cellular, satellite or radio links to a server, where the data is stored, drawn on a GIS map and checked against rules: geofences (virtual boundaries that trigger alerts on entry or exit), speed limits, route deviation, idle time and SOS events.
- NavIC (IRNSS) is India's own regional navigation system, operated by ISRO. Its primary service area covers India and up to 1,500 km beyond its borders, and ISRO states it is expected to provide position accuracy of better than 20 m in that area. It offers an open Standard Positioning Service and an encrypted Restricted Service; ISRO lists vehicle and fleet tracking, disaster management, precise timing and surveying among its applications [1].
- AIS (Automatic Identification System) is mandatory for ships under IMO SOLAS regulation V/19: all ships of 300 GT and above on international voyages, cargo ships of 500 GT and above on domestic voyages, and all passenger ships. AIS automatically broadcasts identity, position, course, speed and navigational status to shore stations, ships and aircraft [2].
- AVL (Automatic Vehicle Location) and IoT telematics add on-board sensors such as ignition, fuel, temperature and a panic button to fleet tracking.
Applications. Live bus and train location and arrival prediction; freight and hazardous-goods monitoring; nearest-unit dispatch for police, fire and ambulance; passenger safety with panic buttons; maritime safety and port management; field-workforce attendance with geofences; and automatic charting of train movements.
Proven examples.
- AIS-140 Vehicle Location Tracking mandate, India. Rule 125H of the Central Motor Vehicles Rules requires public service vehicles to be fitted with a vehicle location tracking device and one or more emergency buttons (two-wheelers, e-rickshaws and three-wheelers are excluded), under MoRTH notifications GSR 1095(E) of 2016 and GSR 1081(E) of 2018. A 2020 MoRTH scheme funds state-level AIS-140 monitoring platforms, and in 2021 fitment was extended to liquid medical oxygen tankers. State back-ends give monitoring access to emergency response teams, transport offices and police, and integrate with VAHAN for device registration and health checks [3].
- Indian Railways RTIS (Real-Time Train Information System). Developed with ISRO, RTIS automatically records arrival, departure and run-through times and plots them in the Control Office Application, with mid-section updates every 30 seconds and no manual input. By September 2022 it was installed on 2,700 locomotives in 21 electric loco sheds, with 6,000 more planned in Phase II via ISRO's satellite communication hub. GPS feeds from about 6,500 locomotives now drive automatic charting and passenger information through NTES [4].
- Dial 112 ERSS, India. The Emergency Response Support System offers one pan-India emergency number with computer-aided dispatch of field resources to the caller's location, reachable by call, SMS, email and the 112 India app. It was operational in 27 States/UTs by December 2019 [5].
- London iBus. Transport for London's AVL system, in service since 2007, uses GPS among other technologies to pinpoint every bus, helping controllers regulate services and driving real-time passenger information and on-board stop announcements. In March 2024 TfL awarded a £160 million, 10-year contract for its next generation, adding disruption and diversion information and better arrival predictions [6].
Value delivered. Manual reporting of train timings replaced with automatic 30-second updates [4]; more regular bus services (fewer long waits followed by bunched buses) and better accessibility through audio-visual announcements [6]; faster, location-aware emergency response [5].
Business problem
- Organisations with field staff or fleets often cannot tell where their people and vehicles are, which visits actually happened, or why a trip took twice as long as planned. Supervisors rely on phone calls and self-reported registers.
- Without a live view, idle time, route deviation and unauthorised use go unnoticed, and fuel and travel costs keep rising.
- Tracking is no longer optional for many operators: public service vehicles must carry a vehicle location tracking device and emergency buttons under CMVR Rule 125H [3][7]. Operators need a usable monitoring back-end, not just a device.
- Tracking people also creates a new risk: an employee's location trail is personal data under India's DPDP Act [8], so a poorly designed system can harm trust and expose the organisation to compliance problems.
Our solution
- My GLOBEIR app for field teams: work-hour location capture with optional, opt-in background tracking shown by a persistent notification, geofenced attendance and offline storage that syncs when connectivity returns.
- Live Tracking WebMap control room: real-time positions, trails, geofences, over-speed, idle, route-deviation and SOS alerts for people, vehicles and devices.
- Integration with existing GPS/AIS-140 devices and telematics feeds where the client already has hardware, so vehicles and staff appear on one map.
- Role-based visibility: a field officer sees only their own trail, a supervisor sees their team, and region or head office sees aggregated views, so location data is shown only to those who need it for work.
Benefits
- A live, shared picture of where every team and vehicle is, replacing calls and paper registers.
- Lower travel and fuel cost through visibility of idle time, detours and unnecessary trips.
- Faster, location-aware response to incidents; in public systems, Dial 112 uses computer-aided dispatch to the caller's location (industry example) [5].
- Automatic, reliable records instead of manual reporting; Indian Railways' RTIS replaced manual train-timing reports with automatic 30-second updates (industry example) [4].
- Support for tracking compliance obligations such as AIS-140 for public service vehicles [3].
Privacy & data security
- Data involved: live location, movement trails and attendance of identifiable employees and drivers, which is personal data under the DPDP Act [8].
- Opt-in and work purpose only: background tracking in the My GLOBEIR app is optional and opt-in with a persistent notification, and location is captured for work purposes. This supports the DPDP requirement that consent be free, specific, informed and limited to the data needed for the stated purpose [8].
- Role-based visibility and audit logs: separate field, supervisor, branch/region and head office roles, with logs of who accessed or changed data.
- Protected in transit and at rest: TLS 1.2 or higher and AES-256 encryption on ISO 27001 / SOC 2-certified cloud infrastructure in India.
2. Monitoring Systems
What it is and how it works. A monitoring system brings many data streams onto one geospatial base so managers can see status, spot exceptions and act. Typical streams are tracked vehicles, IoT sensors, satellite imagery, geotagged field reports and SCADA telemetry from pipes, pumps and substations. Common forms include:
- GIS dashboards and command centres that combine live feeds with planning layers.
- Satellite-based change monitoring, which compares repeated imagery and raises alerts.
- SCADA + GIS, which places pressure, flow or load readings on the network map so faults can be located spatially.
- Project and asset monitoring, which links each asset's location and photo evidence to its progress status.
Proven examples.
- PM GatiShakti National Master Plan. Launched in October 2021, by October 2024 it integrated 44 central ministries and 36 States/UTs with more than 1,600 data layers. Over 200 large projects had been evaluated through its Network Planning Group, all States/UTs had State Master Plan portals, and 20,000+ officials had been trained on the platform [9]. By August 2025 the integration had grown to about 1,700 data layers from 57 central ministries/departments and 36 States/UTs [10].
- Integrated Command and Control Centres (ICCCs), Smart Cities Mission. ICCCs are operational in all 100 Smart Cities, acting as the city's nerve centre for traffic, solid-waste and water-distribution management; 30 of them run traffic functions such as adaptive signal control and automatic number-plate recognition [11].
- Satellite forest monitoring (GLAD alerts). Each alert marks a 30 m × 30 m canopy disturbance detected in Landsat imagery, which revisits every location about every 8 days; an alert is "confirmed" when the loss is seen again in one of the next four images [12].
- PMAY-G rural housing. Time- and date-stamped geotagged photos are uploaded at every construction stage. AI models recognise walls, roofs, doors and windows to recommend the completion photo, and machine-learning anomaly detection compares photos within a locality to flag duplicates. As of March 2026, 2.99 crore houses had been completed out of 3.90 crore sanctioned [13].
Business problem
- Managers juggle separate tools for vehicles, field reports, projects and sensors, so no one sees the full picture and problems are found late.
- Exceptions (a stalled project, an idle vehicle, a missed inspection) are buried in spreadsheets and surface only in monthly reviews.
- National platforms such as PM GatiShakti now combine about 1,700 data layers on a single geospatial base [10]; departments and contractors that cannot work in the same way fall behind in planning and reporting.
Our solution
- An integrated Administration Monitoring dashboard that brings live tracking, geotagged field reports, project assets and alerts onto one map.
- Rule-based exception alerts (missed visits, idle assets, stalled stages, geofence breaches) pushed to the right supervisor.
- Project and asset monitoring that links each asset's location and photo evidence to its progress status, published through a WebGIS portal.
- Optional satellite-based change layers and heat maps to show where activity, delays or issues are clustering.
Benefits
- One control view instead of many disconnected dashboards and reports.
- Exceptions surface automatically, so action can be taken quickly instead of waiting for the next review.
- Evidence-based progress reporting for projects and schemes; PMAY-G uses stage-wise geotagged photos and machine-learning checks to monitor crores of houses (industry example) [13].
- Better coordination across departments, as shown by ICCCs operating in all 100 Smart Cities (industry example) [11].
Privacy & data security
- Data involved: staff and vehicle positions, geotagged photos, project locations and, for some clients, infrastructure layers that may be sensitive.
- Need-to-know dashboards: role-based access ensures each user sees only the regions, teams and layers relevant to their role, and summary views can use aggregated data instead of individual trails.
- Logging and incident readiness: CERT-In Directions require organisations to keep logs of ICT systems for a rolling 180 days within India and to report listed cyber incidents within 6 hours [14]; GLOBEIR keeps audit logs of access and changes to support the client's own reporting.
- Deployment choice: GLOBEIR-managed India-hosted cloud, the client's own cloud or data centre, MeitY-empanelled government cloud for government clients, or on-premise.
3. Field Validation
What it is and how it works. Field validation checks remote, reported or modelled information against what actually exists on the ground. It has three strands:
- Ground truthing for remote sensing: reference observations collected at sample locations and compared with a classified map.
- Geotagged evidence capture: a mobile app records GPS coordinates, positional accuracy, timestamp and photos of an asset; supervisors then moderate each record (accept, reject or flag).
- Field verification of assets, projects and loans: inspectors visit sampled sites with mobile GIS forms to confirm existence, stage and condition, tied to the asset or account ID.
Accuracy assessment practice. The foundation is the error (confusion) matrix: Congalton's widely cited 1991 review states that all accuracy analysis is based on an error matrix or contingency table [15]. Congalton recommends at least 50 samples per class, rising to 75–100 per class for areas larger than 500 km² or more than 12 classes [16]; the standard reference text is Congalton & Green, Assessing the Accuracy of Remotely Sensed Data (3rd ed., 2019) [17]. Current good practice (Olofsson et al., 2014) is to use a probability sampling design, reference data more accurate than the map, and to report overall, user's and producer's accuracy with area-adjusted estimates and confidence intervals [18]. Researchers have also cautioned against relying on the Kappa coefficient alone and recommend reporting quantity and allocation disagreement instead [19].
Mobile data collection tools.
- ODK: open source and offline-capable; over 2 million people use it to send more than 250 million submissions a year [20].
- KoboToolbox: open source, used by over 35,000 organisations [21].
- ArcGIS Survey123: form-centric collection that works even when disconnected from the internet [22].
- QField: open-source QGIS field app with high-precision positioning, tracking, geofencing and constrained forms [23].
Proven examples.
- GeoMGNREGA on Bhuvan. The Ministry of Rural Development partnered with NRSC (ISRO) and NIC in June 2016, trained about 2.76 lakh personnel, and geotagged and published one crore assets within seven months [24]. Each record carries the asset ID, work code, GPS accuracy, enumerator, timestamp and two geotagged photos; moderators can check the distance between photo location and geotag, and only accepted points are published [25].
- PMAY-G inspections. Alongside geotagged photos, block officers physically inspect about 10% and district officers about 2% of houses at each stage [13]: a textbook combination of remote evidence and sample field validation.
- PMFBY crop insurance. The CCE-Agri smartphone app is mandatory for real-time upload of crop-cutting experiment data. In Kharif 2019, satellite-based "smart sampling" chose CCE locations in 96 districts across 9 States, covering about 1 lakh rice CCEs [26].
Business problem
- Lenders, insurers, government departments and project owners pay for field visits but often cannot prove that a visit happened at the right place, on the right date, with genuine photos.
- Duplicate or reused photos and desk-filled forms lead to wrong approvals, leakage and audit objections.
- Satellite-derived maps, AI models and risk scores are often used without a proper accuracy check, even though good practice calls for probability sampling and reported accuracy with confidence intervals [15][18].
- Many field locations have weak connectivity, so online-only tools fail exactly where verification is needed [20][22].
Our solution
- Geotagged, time-stamped evidence capture in the My GLOBEIR app, recording GPS accuracy and photos, with offline capture and later sync.
- Automatic checks such as photo-to-location distance and duplicate detection, followed by a supervisor moderation workflow (accept, reject or flag) with a full audit trail.
- Sample-based verification plans for assets, projects and loan portfolios, tied to the asset or account ID.
- For remote-sensing projects: a sampling design, field protocol, confusion matrix and area-adjusted accuracy report, delivered as part of GLOBEIR's services.
Benefits
- Auditable proof for every visit, reducing disputes and audit observations.
- Fewer fraudulent or duplicate records reaching approval; GeoMGNREGA lets moderators check photo-to-geotag distance and publishes only accepted points (industry example) [25].
- Faster verification at scale; GeoMGNREGA geotagged one crore assets within seven months (industry example) [24].
- Defensible maps and models, with accuracy reported to accepted standards [17][18].
- Smart use of field effort through sampling, as in PMAY-G's 10% and 2% inspection levels (industry example) [13].
Privacy & data security
- Data involved: geotagged photos of homes, farms and assets, beneficiary or borrower identifiers, and the enumerator's own location at capture time; all can be personal data under the DPDP Act [8].
- Minimum data, clear purpose: forms collect only what the verification needs, and analysis and reporting can run on masked, pseudonymised or aggregated data.
- Secure capture and storage: records stored offline on the device are synced over encrypted connections (TLS 1.2 or higher) and held encrypted at rest (AES-256).
- Indian data residency for fine mapping data: DST Guidelines require geospatial data finer than the threshold to be stored and processed in India by Indian entities [27]; GLOBEIR hosts on infrastructure in India and offers on-premise deployment.