Custom AI vision models
Object detection, segmentation, classification and anomaly localization — trained and validated on your data.
Custom computer vision · San Diego · Since 2022
Computer vision for hard sensors.
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
15+vision systems delivered
20+scientists & engineers in our network
10+sensor types we work with
4patents pending, open to license
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.
Drones & geospatial
Object detection and georeferencing in aerial imagery
- Problem
- A client needed an inventory of assets spread across many square kilometres, 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.
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.
Emergency response
Multi-model detection for aerial and incident video
- Problem
- One model per pass meant reviewing the same footage several times to find vehicles, smoke and people.
- What we built
- Several specialized detectors run on every frame and their outputs merge into one result set for review.
Manufacturing QA
Automated inspection of cable connectors
- Problem
- Faulty cable connections on an automotive line were being found downstream, after assembly.
- What we built
- An in-line vision check that inspects each connector and flags faults before the part moves on.
Medical imaging
Resolution enhancement for endoscopic imaging
- Problem
- A device maker wanted a clearer picture without changing the sensor hardware.
- What we built
- An upscaling algorithm tuned on endoscopic images that lifts resolution and clarity in real time.
More projects
- 3D models of a San Diego historical site from drone footage
- Automated inspection of UV epoxy curing quality
- Metal wear detection for proactive maintenance
- In-situ fabric weave classification and flaw detection
- Dataset quality analysis for autonomous driving (occlusion, shadows, low light)
- Cell-phone-while-driving detection
- iOS apps with built-in computer vision for small businesses
- Patent strategy and drafting for AI & computer vision
- SBIR / DoD grant support for AI integration
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.
Book a free 15-min consult
How we work
Three phases, each with a clear end point
You can stop after any phase. 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
Every phase follows the same loop — get data, clean and prepare it, train, test, improve — and you see results on your own footage before anything goes into production.
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, a Senior Data Scientist in 3D imaging at Decision Sciences, and Interim CEO of a biotech startup. She holds 2 issued and 5 filed U.S. patents, 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
- 2 issued and 5 filed U.S. patents
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 Seeing Invisible: Advanced Antenna Arrays. 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.
Allison Dzieciuch
Marketing & Operations Assistant
Allison supports IPD Scientific's marketing, client communication and day-to-day operations. She studies business at Santa Clara University's Leavey School of Business (class of 2030), where she is also an NCAA student-athlete.
Credentials
StatusWoman-owned small business
Founded2022, San Diego
UEIV1CDSXDEZ6E8
CA contractBID0102538
Earlier work, before IPD Scientific
The experience our team brings to every project.
Corrosion, mine and fake-image detection
As Principal Investigator, Iryna built deep neural networks that found corrosion, underwater mines in sonar images, and fake images, with up to 98% detection accuracy. Her corrosion detection method is now used by the Navy with drones and 3D models.
3D imaging that sees inside vehicles
Improved muon tomography imaging, which uses natural cosmic-ray particles to see inside dense objects. Built exact-size 3D models of vehicles and combined them with LiDAR and photogrammetry in field tests.
Multispectral field data collection
Set up electro-optical multispectral cameras in the field, collected data, and wrote automated image processing in MATLAB: enhancement, segmentation and feature extraction.
Data modeling and forecasting
Modeled data in Systems Tool Kit and built time-series and autoregressive forecasting models in R and Python.
Taking a biotech product to market
As Interim CEO, led the commercialization of a dental microbiome product: go-to-market plan, investor funding, patents and trademarks, and a sales and marketing team.
Radar and antenna research for defense
Led U.S. Navy, Air Force and DoD research projects on antenna arrays, passive radar and imaging, resulting in 10 U.S. patents and 200+ publications.
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.”
Licensing
Patents available for license
Four pending U.S. patents in multi-beam antenna arrays, passive radar and monopulse SAR — open to licensing and partnership.
Get started
Book a free 15-minute consultation
Pick a time that suits you — no forms, no obligation. We'll talk through your problem and tell you whether computer vision is the right tool for it.
Choose a time
You'll get a confirmation and a calendar invite by email.
Tell us about the project
A few details help us come to the call prepared.