Bizzi sensors bond to any paved surface with industrial adhesive. No drilling, no cameras, no WiFi required. Each stall transmits its status over LoRaWAN to a live dashboard. You have real occupancy data by the end of the installation day.
Every stall change is logged with a timestamp. Your dashboard shows occupancy by hour and average dwell time across the facility. When you need evidence for a permit policy change or a board presentation, the data is already there.
Each sensor transmits its health data along with occupancy state. If a unit stops reporting, it shows up flagged before your team would notice from the field. Field replacement takes a few minutes and requires no tools.
Pilot studies run three to six months with university and municipal parking teams.
Pilot studies run three to six months with university and municipal parking teams.
Enforcement officers patrol entire facilities to find a handful of violators because there is no way to see where they are without driving through. Permit oversell complaints come in from faculty in lots that, on paper, are only 85 percent sold. When the case for a new structure comes up, the utilization evidence is a spreadsheet from last quarter, not live data.
Camera-based systems create a different set of problems for most institutions: privacy concerns, community relations challenges, and board-level scrutiny that can delay or kill a deployment entirely. Bizzi is camera-free. No video, no footage of any kind.
Which reserved lots ran under 60 percent last month, and at which hours?
Utilization curves by lot, by day, by hour. Exportable.
How many passes did your enforcement team make before finding a single violator yesterday?
A live view of every stall means you dispatch to where the violations actually are.
What do you show the board when they ask about occupancy before approving a new structure?
A formatted utilization report by week, drawn from sensor data, not estimates.
The sensor bonds to the curb face or stall perimeter. No drilling, no saw cuts, no permit required. A single technician can cover a full surface lot in one morning.
Each unit runs on LoRaWAN, a low-power wide-area protocol built for this kind of deployment. It operates on its own network segment, so there are no WiFi credentials to collect, no IT tickets to file, and no network infrastructure to negotiate.
A live dashboard shows every stall's current status, updated continuously. Filter by lot, zone, or permit type. The data is there when a director needs it, not a week later in a report request.
Weekly summaries break occupancy down by lot, by day, and by hour of day. Export directly for board presentations or enforcement analysis. Sensor health is tracked separately so your team knows immediately if a unit stops reporting.
Sensors are camera-free by design. No footage, no facial recognition, no license plate data. The only output per stall is occupancy state: occupied or not.
Per-stall live status
Every monitored space reports its current state. The view refreshes continuously without page reload.
Utilization history
Hourly, daily, and weekly occupancy curves by lot or zone. Pull any time window you need.
Enforcement routing
See which stalls in a restricted zone are showing an unauthorized vehicle before dispatching.
Sensor health view
Any unit that stops reporting shows up flagged. Field swap takes minutes and requires no tools.
Board-ready exports
Formatted weekly reports you can put in front of a board without reformatting. Covers utilization, trend, and variance from permit count.
A Bizzi study runs three to six months in one or two target lots. We handle installation, network setup, and dashboard access. On day one, your team has live data. During the study you get automated weekly reports and a direct line to us for questions about what the data shows.
At the end of the study period we deliver a full occupancy analysis. If the data supports a case for broader deployment, we structure it from there. If it doesn’t, we will say so.
Tell us about your facility. We will schedule a call to cover study scope, lot coverage, and what the data will show you.
