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.
RGB / Electro-optical
Thermal IR (FLIR)
SWIR
Multispectral
Sonar
Microscopy
Medical imaging
Endoscopic
Dynamic vision (event)
LiDAR & drone mapping
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 builds 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.
- Leads the technical work, not just the sales call
- Backed by a network of 20+ scientists, engineers and technicians
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.
Credentials
StatusWoman-owned small business
Founded2022, San Diego
UEIV1CDSXDEZ6E8
CA contractBID0102538
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.