Shark Byte Systems is a Manhattan-built AI company, founded in 1997, whose SpotShark Video Analytics (SVA) engine runs parking, valet and vehicle-access operations across 500+ sites in airports, hospitals, property portfolios and security environments — with US-data-residency and P2PE-certified payments built for government and regulated deployments.
SVA powers our own Garagenet management suite and plugs into partner PARCS systems (Designa, Amano McGann). spotshark.com is where drivers pay, reserve, and manage monthlies.
SVA runs a gated lane with no magnetic loops or ground sensors — driving the Garagenet gate controller directly. AI + cameras open the arm just in time as vehicles approach; sonar sensors back it up so the gate never comes down on a passing vehicle.
Dual camera streams at a high-volume NYC valet lot. SVA draws green overlays for moving cars, yellow when stopped — detecting make, color, plate, state, direction, speed, handicap, veteran and EV class. Garagenet auto-prints tickets on arrival so the valet simply matches image to car.
Every algorithm — from LPR to vehicle dimension sensing — was coded and trained in-house. We own the source, we own the data pipeline, we ship the updates. Our partners get flexibility, security, and agile support with zero third-party licensing entanglement.
LPR, ReID, vehicle dimensioning, frictionless tracking — all written and trained by our team. Our tech evolves on real-world data, faster than commercial software can keep up.
Specialists in gate-less environments. Dynamic inventory, real-time vehicle location, app-less customer journeys via QR-code enrollment and SMS eTickets.
We own the source code and training pipelines. No black-box vendor, no license traps, no surprise deprecations. Security and support move at our pace.
SVA observes a new site for 1–3 days and builds its own 3D spatial map. No manual camera calibration, no per-lane tuning, no survey crew — the system learns the scene and optimizes parameters autonomously.
Production data flows back into training. Edge cases from live lanes feed the next network revision — reviewed, retrained and rolled out on a continuous cadence. Off-the-shelf CV ships once and rots; SVA keeps getting better.
Every critical decision — is this a plate? is this the same vehicle? — is cross-validated by multiple independent neural networks running in parallel. The same redundancy pattern used in autopilot and avionics: if one model errs, the others catch it.
SVA — SpotShark Video Analytics — is the flagship AI core. It drives our own Garagenet parking-management suite and integrates directly into partner PARCS from Designa, Amano McGann and others. SpotShark.com is the customer-facing payment portal for drivers: transient tickets, monthly contracts, and reservations.
.comWhat the vision layer actually sees and reports — across frictionless lots, gated lanes, and valet operations.
99.1–99.9% identification accuracy. Specialized detection of Handicapped, Veteran and Disabled Veteran plates. When plates are missing or unreadable, ReID matches vehicles across cameras at 99.7% accuracy — facial recognition, for cars.
Plate characters plus Make, Color, State and Body Type — pixel-level accuracy from a single camera feed. Feeds directly into pricing, enforcement and audit.
3D height + length detection from standard camera feeds. Powers oversize-fee automation in NYC lots today. Custom real-time alerts per dimensional threshold.
Distinguishes EV, PHEV and BEV for charging-station enforcement and green-initiative tracking. Vehicle class feeds directly into access and billing rules.
Automated parking guidance without per-space ultrasonic sensors. Real-time behavior tracking: wrong-way drivers, illegal U-turns, loitering, unauthorized zone access.
Hardware-agnostic on retail GPUs or Jetson. Deep integration with billing, reservation and accounting platforms. Legacy gates, loops and pay stations supported via standard messaging.
Our proprietary CV core. High throughput, ultra-low latency, and self-learning spatial maps mean new environments come online fast and stay fast — whether SVA is driving Garagenet or a partner's PARCS.
SVA runs across airports, hospitals, government, property portfolios, security operations, hospitality and QSR — anywhere a vehicle enters, parks, queues or exits. Headquartered in NYC; deployed nationwide.
Vehicle access at terminals, employee lots and cell-phone lots. Oversize and fleet routing. APGS for car-rental return. Real-time vehicle ID at speed.
Patient, visitor and employee lot zoning. Valet flow at high-volume ER and outpatient entrances. Compliance-aware vehicle data handling across NYC's largest hospital networks.
Tenant retention, monthly billing, automated exception alerts. Frictionless resident access without ripping out gates or sensors.
Permit and zone enforcement, handicapped / veteran plate validation, dimension-based fees. Audit-grade reporting for public operators.
Real-time alerts on unauthorized vehicles, BOLO matching across cameras, behavioral flags (loitering, wrong-way, restricted zones).
Frictionless guest check-in, EV / charging-aware routing, automated ticketing — image-to-car matching at the curb.
AI vehicle ID at the order point. Operational metrics for throughput, dwell time, abandonment and curbside pickup matching.
We partner with primes on projects that need accuracy, speed and control that off-the-shelf CV can't touch.
Including specialized Handicapped and Veteran plate recognition for compliance and enforcement.
Automated oversize / SUV detection and surcharge collection. Live in NYC.
Transition from hardware-heavy gated systems to modern frictionless, without ripping out your existing infrastructure.
Parking and charging management keyed to EV / PHEV / BEV classification at the camera.
Tell us about your operation — gated or frictionless, municipal or private, one site or a portfolio. We'll line up a working demo against real footage (yours or ours) and walk through the integration path.