Offence Detection
Vision AI across lanes and sites.
Transport
Automated road safety
Computer-vision enforcement for helmet & seat-belt violations, lane overriding and over-speeding — auto-issuing fines.
Overview
What we build & operate
Live across 120 sites in Uganda, detecting offences and issuing fines to vehicles automatically.
Transparent, auditable enforcement that improves compliance and safety.
- Multi-offence detection — Helmet, seat-belt, lane, speed.
- Automated fines — Detect, capture, issue.
- Audit trail — Every action evidenced.
- Scalable — Site-by-site rollout.
Capabilities
What you get
A connected set of capabilities, delivered by one accountable team.
Fine Management
Automated issuance & reconciliation.
Evidence & Audit
Tamper-evident records.
How it works
From brief to deployed
1
Discovery
We map your objective, data, users and constraints into a clear scope and success metric.
2
Design & architecture
We design the system, data flow and integrations — secure and audit-ready from day one.
3
Build & deploy
We engineer, test and deploy to production with monitoring and documentation.
4
Operate & improve
We support, retrain and extend the system as your programme scales.
120
Sites live
Uganda
4
Offence types
Helmet · belt · lane · speed
Auto
Fines
Issued to vehicles
Audit
Ready
Full evidence
Technology
Tools & platforms we build on
PythonTensorFlowPyTorchComputer VisionLLMs & AgentsGoogle AIAWS AIMLOpsVector DBs
FAQ
Frequently asked questions
Where does Mitiosys deliver?
From our India HQ in Greater Noida West, with regional offices in Kampala (Uganda) and Kigali (Rwanda) — serving clients across India and Africa.
Is the work secure and compliant?
Yes. Every system is built to government data, security and audit expectations, with access control, encryption and logging.
Can you integrate with our existing systems?
Absolutely. We build clean APIs and are licensed implementation partners for Odoo, Microsoft Dynamics 365, SAP and Tally.
How do we get started?
Book a short discovery call. We'll scope a measurable outcome and propose a pragmatic plan and timeline.
Keep exploring
Related services & solutions
Ready to build ai traffic enforcement?
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