Camera-only parking management from entry to payment: plates are read across every frame of a car's pass and voted into one answer, sessions and tariffs run themselves, occupancy is live on a visual map — no barriers, no paper tickets, no per-spot sensors to install or maintain.
Plates read at the gate as cars roll through. Fuzzy matching pairs a misread exit with its entry, so sessions never dangle.
A dedicated ANPR mode tracks each car across its whole pass and votes every read — character by character, weighted by confidence — into one plate. Cheap ANPR gambles on a single frame; this doesn't.
Crops too small or too blurry to be legible are rejected before OCR runs, instead of returning a confident invention. Phantom cars never reach your revenue data.
Every lot drawn as an interactive map — single or double rows, facing rows, free-form layouts — with spot-by-spot occupancy and spot types for EV, disabled, reserved and VIP bays.
One camera watching everything, a clean one-in/one-out pair, or multi-lane gates — configured per lot, with a per-lot re-detection delay so a slow pass never double-counts.
Timed sessions open and close automatically; flexible tariffs (hourly rates, daily caps, free grace periods, per-lot overrides) price them without human touch.
Every session priced and recorded with a full audit trail, refunds included — revenue leakage has nowhere to hide.
Monthly parkers are recognised by plate and waved through, optionally onto a reserved bay — no RFID cards to issue, replace or deactivate.
Watch reads land in real time with the plate crop, the confidence and the lot they hit — commissioning a lane takes minutes, not a return site visit.
Wire a rule on the canvas: email when a watchlist plate arrives, when an unknown vehicle parks after hours, or when a lot crosses capacity.
Find any vehicle's full parking history in seconds; occupancy, revenue, duration and throughput analytics on one dashboard.
| The traditional way | MIT Parking | |
|---|---|---|
| Entry experience | ✕Stop, press, take a ticket, wait for the barrier — queues at every peak | ✓Drive through; the plate is read at full rolling speed |
| Plate accuracy | ✕One snapshot per pass — a bad angle or a smudge and the session is simply wrong | ✓Every frame of the pass tracked and voted into one consensus plate |
| Lost ticket | ✕Arguments, penalty fees, a staffed booth to resolve them | ✓Impossible — the plate is the ticket, backed by an entry photo |
| Occupancy | ✕One buried sensor per spot: install, calibrate, maintain, replace | ✓One camera watches an entire zone — nothing embedded in concrete |
| Revenue | ✕Manual reconciliation, leakage through free-exit disputes | ✓Every minute priced by the tariff engine, every session auditable |
| Regulars | ✕Issue, replace and deactivate RFID cards and remotes | ✓Plate-based subscriptions — enrolled in one click, revoked in one click |
| Knowing something happened | ✕You find out when someone complains | ✓Automated emails on watchlist plates, after-hours arrivals or a full lot |
| Evidence | ✕“I was never there” — and nothing to prove otherwise | ✓Photo-documented entry and exit on every single session |
Vehicles are tracked frame to frame and every read is pooled into a confidence-weighted, character-by-character vote. Single-frame OCR is the biggest reason cheap ANPR fails in the real world — and the thing MIT Parking fixes at the engine level.
OCR models will happily return a confident plate from an unreadable smudge. MIT Parking rejects undersized crops before they ever reach the reader, so your sessions table stays real.
No loops cut into asphalt, no sensor per spot, no barrier arms to snap. The install is a camera and a login — and it can reuse the gate camera you already have.
Fuzzy plate matching pairs entries and exits even when one character is misread — the failure mode that plagues cheap ANPR simply doesn't strand sessions here.
Built on MIT Eyes: the same cameras run security detection and parking at once, and the same plate search serves both operations and investigations.
Hourly, daily, graduated, grace periods, per-lot overrides — modelled in configuration, not in custom development.
Your payment and movement records stay on your servers — no per-space SaaS fee eating the margin.
Competitors sell four systems: four installs, four vendors, four invoices. MIT sells one platform where every module reuses the cameras, the AI and the data of the others — so each solution you add costs a fraction and returns in full.
See MIT Parking running on your own cameras — a pilot takes a day, not a quarter.
Your cameras already see everything. Now they understand it.
Explore →Walk in. You're clocked in.
Explore →Every vehicle counted. Every speed measured. Every violation proven.
Explore →