Custom AI vision models
Object detection, segmentation, classification and anomaly localization — trained and validated on your data.
Custom computer vision · San Diego · 10+ years in the field
Computer vision that works on your data.
Thermal, sonar, LiDAR, SWIR, endoscopy, microscopy — and ordinary video too. We take your data and give you a working prototype in weeks.
- A prototype on your footage, not a slide deck
- US-based scientists and engineers
- Fixed-scope phases, so you know what you're buying
“In just six short weeks, I am now testing my prototype.” — Founder, StrikeSure
15+vision systems delivered
20+scientists & engineers in our network
10+sensor types we work with
6–10 wksfrom your data to a working prototype
Experience from work with
U.S. Navy (NAVWAR)SBIR / DoD programsGranted U.S. patentsPublished research (Springer)
What we do
Computer vision and AI, built around your problem
We break a hard vision problem into solvable AI tasks, then build the models, pipelines and apps that run them.
Automated visual inspection
Defect detection for manufacturing and maintenance: connectors, coatings, curing, wear, fabric and more.
Video analytics & safety
Real-time monitoring from cameras you already own: PPE compliance, queues and crowd flow, fire and smoke, incident review.
Drone, satellite & 3D
Georeferenced detection in aerial imagery, photogrammetry and 3D models, LiDAR point-cloud processing.
Data collection & labeling
Sensor data capture, annotation, augmentation and dataset quality audits, so your models learn from the right data.
Consulting, IP & grants
Feasibility and architecture reviews, patent strategy and drafting, and SBIR/DoD proposal support.
Industries
Where we work
Medical & endoscopy
Image quality, anomaly localization and device-side AI.
Explore →
Defense & maritime
Sonar, thermal and aerial detection, SBIR support.
Explore →
Manufacturing QA
In-line defect detection and inspection automation.
Explore →
Drones & geospatial
Georeferenced detection, photogrammetry, 3D models.
Explore →
Case studies
Problem, what we built, result
A sample of the systems we've delivered for industry, infrastructure, healthcare and startups.
Demo video · tap to play
Highways & traffic · New
Road traffic queue detection
- Problem
- Traffic operators need to know when cars start backing up on a stretch of road — before the queue blocks a junction or an off-ramp — without digging sensors into the road.
- What we built
- A system that turns a standard traffic camera into a queue monitor. It finds every vehicle, measures its speed, shows how far back the queue reaches in meters, and sends an alert when it gets too long. The camera calibrates itself from the passing traffic, so no site survey is needed.
- Result
- Demo result: caught a queue forming at a red light and followed it to 89 m and 26 vehicles. 46 of 186 vehicles were delayed, by 28 seconds on average. Alerts fired at 40 m and 75 m.
Useful for: traffic management centers, highway operators, work zones, and junctions where queues cause crashes or gridlock.
Drones & geospatial
Object detection and georeferencing in aerial imagery
- Problem
- A client needed an inventory of assets spread across many square kilometers, and manual counting from imagery was too slow to repeat.
- What we built
- A detection pipeline for high-resolution drone and satellite imagery that converts every detection from pixels into latitude/longitude with real-world dimensions.
- Result
- Demo result: 15 objects placed on the map with real coordinates; the church landed about 3 meters from its known position.
Construction safety
PPE compliance monitoring on a construction site
- Problem
- Safety managers only learned about missing hard hats and vests after a walk-around or an incident.
- What we built
- Real-time detection on existing site cameras, with filtered alerts carrying a photo, the zone and a timestamp, plus a daily compliance report.
Operations
Queue length and wait time from fixed cameras
- Problem
- An operator could see the queue on camera but had no numbers to staff against.
- What we built
- A pipeline that turns the same footage into headcount, throughput, walking speed, estimated wait time and density heatmaps.
- Result
- Demo result: with a top-down camera, about 300 people found per frame and 1,580+ people tracked. Under angled cameras, 67% of detections overlap.
Clients
What clients say
“I hired IPD to help with my AI Vision System, StrikeSure. In just six short weeks, I am now testing my prototype and building a custom Computer Vision System Algorithm.”
“Working with Iryna and the IPD Scientific team was an exceptional experience… Their expertise in AI-based image processing and real-time detection helped transform our early concept into a working prototype.”
“Iryna's background in computer vision for cameras let her effortlessly understand our challenges and what it would take to address them with AI.”
“IPD is not only a leading-edge firm in the field of machine learning and advanced imaging, they are a pleasure to work with.”
Ready to deploy
Systems we've already built — adapted to your cameras
Start from something that already works. Each one comes with annotated video, a data file and a dashboard, and we tune it on your own footage.
Real demoPPE compliance alerts
Checks hard hats and hi-vis vests on the cameras you already have. Sends a photo alert with the zone and time only when a violation is confirmed, plus an end-of-shift compliance report.
See how it works →Real demoQueue & crowd analytics
Head count, queue length, walking speed, people per minute, estimated wait, dwell time and a density heat map, from one fixed camera.
See how it works →Real demoRoad traffic queuing
Watches a defined stretch of road or highway and detects when traffic starts to back up: where the queue starts and ends, how long it is, and how fast it moves. Alerts when a queue forms, for work zones, incidents and traffic operations.
See how it works →
IllustrationLane-closure & merge warning
Finds the cones, draws the merge line through them, shades the closed lane and shows the merge direction and distance to the taper in meters. Works from shape alone, even on black-and-white video.
See how it works →
Real demoFire, smoke & vehicles in one pass
Several detectors run on every frame and merge into one result: cars, trucks, fire and smoke. Returns annotated video plus a frame-by-frame data file you can search.
See how it works →
IllustrationCorrosion inspection from drone images
Finds rust on large assets from drone imagery, grades how severe it is and measures the percent of surface affected, so repairs can be planned.
See how it works →
IllustrationTrailer fill measurement
A camera at the dock door measures how full each outgoing trailer is: fill percentage, wasted cubic feet and the cost of shipping air per load.
See how it works →
IllustrationBeehive traffic counting
Counts bees going in and out of the hive, spots pollen loads and tracks the drone-to-worker ratio, to show colony health for commercial pollination.
See how it works →Not sure computer vision can solve your problem?
That's exactly what the free 15 minutes are for. Bring a photo, a short video clip or just a description — we'll tell you honestly whether it's worth building, and what a sensible first step would be.
How we work
What happens after the free 15-minute call
No surprises: here is every step from the first call to a working system. You decide at each step whether to go on.
- 1
Free 15-minute call
You tell us what you need to detect or measure. We tell you honestly whether computer vision can do it, and which approach we'd use.
- 2
NDA and a data sample
We sign your NDA. You share a few images or a short clip — or we come on site in San Diego County and collect a sample with our own sensors.
- 3
Short written proposal
Scope, price and timeline for the first step: a fixed-scope feasibility study. You only commit to that step.
- 4
Work in three phases
Feasibility, prototype, then production. Each phase has a clear end point, and you can stop after any of them.
See the three phases, with timelines
The three phases
Most clients start with a feasibility study, so nobody commits to a build that the data can't support.
Feasibility study
Typically 2–3 weeks
- We review your data, or collect a sample with you
- Success metrics defined in your terms
- Model approach and risks, in writing
- Go / no-go recommendation
Prototype
Typically 6–10 weeks
- A working model on your own footage
- Measured accuracy against the metrics we agreed
- Demo app or dashboard you can show internally
- Weekly check-ins, code handed over
Production & support
Scoped per project
- Deployment to edge, server or cloud
- Integration with your cameras and systems
- Retraining as conditions change
- Ongoing support if you want it
Sensors
The sensors most AI shops turn down
Ordinary photos are easy. We work across the spectrum — and we own and operate the equipment. Tap a sensor to see what we do with it.
Who you'll work with
You work directly with the people who build it
Iryna Dzieciuch — Founder & Principal, Computer Vision & AI
Iryna founded IPD Scientific in 2022 and leads every project personally. She has 10+ years of experience building AI vision systems in Python, PyTorch, TensorFlow and MATLAB, across electro-optical, multispectral, thermal, sonar, LiDAR, microscopy and medical imagery — from first feasibility study through deployment, including real-time edge deployment with CUDA, TensorRT and ONNX.
Before IPD Scientific she was a Principal Investigator at the U.S. Navy's NAVWAR and later a Senior Data Scientist building 3D imaging systems in private industry. She is a co-inventor on 2 granted U.S. patents and a published patent application, all from her U.S. Navy research, has published peer-reviewed research (Springer) on deep learning for sonar imagery, and mentors as a SCORE advisor and science fair judge.
- Leads the technical work, not just the sales call
- Backed by a network of 20+ scientists, engineers and technicians
- Co-inventor on 2 granted U.S. patents and 1 published application — see them
- Speaker and mentor: SCORE business advisor and science fair judge. Invite Iryna to speak on computer vision and AI.
Connect with Iryna on LinkedIn →
Pavlo Molchanov, Ph.D.
Senior Consultant — Optics, Electronics & Radar
20+ years in high-speed electronics, electro-optics and RF/microwave design. 10 U.S. patents and 200+ publications; author of the books Seeing Invisible: Advanced Antenna Arrays (2024) and Artificial Insect-Inspired Vision for Autonomous Systems (2025) — buy the books. He leads the antenna and radar inventions available for license.
Pavlo has been Principal Investigator on U.S. Navy, Air Force and DoD research programs as a Senior Scientist at AETHER, AMPAC and Compass Systems, and developed new passive-radar, tracking and imaging concepts as Principal Scientist at Planar Monolithics Industries. Earlier he was Head of Department and Vice-Dean at Vinnitsa National Technical University.
Credentials
Patents2 granted · 6 pending for license
Founded2022, San Diego
UEIV1CDSXDEZ6E8
CA contractBID0102538
Lab notes
From the lab
What we've learned building these systems, with real numbers.
Questions
Questions buyers usually ask
How much does a computer vision project cost?
Every project starts with a small, fixed-scope feasibility study, so you know what you are paying for before anything bigger. After the free 15-minute call we give you a price for that first step. Larger prototypes and production systems are quoted phase by phase.
How long does it take?
A feasibility study typically takes 2–3 weeks. A working prototype on your own footage typically takes 6–10 weeks. Production deployment is scoped per project.
Do I need to buy new cameras?
Often not. We start with the cameras and footage you already have. If a different sensor would work better, we own and operate thermal, SWIR, multispectral, LiDAR and other equipment, so we can test it before you buy anything.
Is my data kept confidential?
Yes. We are happy to sign your NDA before you share any images, video or other data.
Do you only work with San Diego companies?
No. We are based in University City, San Diego, and work with clients across the United States. For projects in San Diego County we can also come on site to collect data with our own equipment.
Can you help with an SBIR or DoD proposal?
Yes. We help companies choose sensors, define technical requirements and write the AI and computer vision parts of SBIR and DoD proposals.
What happens on the free call?
You tell us what you need to detect or measure, and you can send a photo or a short clip beforehand. We tell you honestly whether computer vision can do it, which sensor and approach we would use, and what a sensible first step would be.
Based in San Diego
A computer vision company in San Diego
IPD Scientific is based in University City (UTC), near UC San Diego, Sorrento Valley and Torrey Pines. We work with San Diego defense, biotech, medical device, manufacturing and drone companies, and with clients across the United States.
Because we own and operate our own sensors, we can come to your site anywhere in San Diego County, from La Jolla and Carlsbad to Point Loma and Chula Vista, to collect thermal, SWIR, multispectral, LiDAR or drone data for your project.
IPD Scientific, LLC
8910 University Center Lane, Suite 400
San Diego, CA 92122
858-800-2430 · [email protected]
Get started
Send us your problem — or book 15 minutes
Email a photo or a short clip, or fill in the form, and Iryna will reply personally with an honest first take on whether computer vision can do it. Prefer to talk? Pick a 15-minute slot below.
Choose a time
You'll get a confirmation and a calendar invite by email.
What happens on the call
- You tell us the problem. What you need to detect or measure, and what camera or data you have. A sample photo or clip helps.
- We tell you honestly if it can be done. Which sensor and approach we'd use, and the main risks.
- You leave with a clear next step. Usually a small, fixed-scope feasibility study, so you know the cost up front.
Describe the problem
Only name, email and the problem are required. Iryna reads every message herself.