Portfolio
Our computer vision projects have a range of capabilities that span across different domains. Custom development of computer vision technologies for any sensor and application, offering tailored solutions to add value, reduce costs, and enhance technology.
With expertise in automated inspection, it enables the analysis of UV epoxy curing quality control, wears on cable connections, metal wear caused by friction, and fabric weave classification. Additionally, it specializes in analyzing the quality and representation of datasets for autonomous driving applications, including occlusion, shadows, and low-level lighting conditions. Recently our algorithm has successfully improved the resolution of medical devices for medical imaging.
With its advanced algorithms, image analysis techniques, and machine learning capabilities, our computer vision project is at the forefront of innovation, unlocking the potential to revolutionize industries and drive advancements in visual data analysis.
Google Map Object Detection & Georeferencing
Our vision-model pipeline identifies objects across high-resolution drone and satellite imagery, then anchors every detection to its true position on Earth.
Using the georeferencing metadata carried within GeoTIFF imagery, each object is converted from pixel space into precise latitude and longitude, complete
with real-world dimensions and area.
The result is a measured, mapped inventory rather than an annotated picture. This capability supports a wide range of applications, including asset and infrastructure inventory, agriculture, land development, construction monitoring, and environmental assessment.
Available as a deployment.
Multi-Model Detection for Aerial and Video Footage
No single off-the-shelf model detects everything a scene contains. General-purpose detectors recognise vehicles but not fire; specialised fire models recognise flame but not vehicles. Our pipeline runs multiple detection models across every frame and merges their outputs into one unified label space, producing a single consistent result set per frame. Footage is returned
as annotated video alongside a frame-level dataset that can be queried, filtered, and joined to other records — supporting incident review, emergency response, industrial site safety, infrastructure inspection, and security monitoring.
Built as a capability showcase.
Available as a deployment.
Queue Length Estimation from Video
IPD Scientific built a computer-vision pipeline that turns one fixed camera pointed at a queue into the numbers an operations team can act on: how many people are in line, how fast it's moving, how many clear the checkpoint per minute, and how long the next person will wait.
No sensors. No beacons. No turnstiles. One camera.
The hard part is that real cameras are mounted off nadir — angled down from a wall, not looking straight down. That one fact drives most of the error:
→ People occlude each other, so the count reads low exactly when the queue is longest — the moment it matters most.
→ Depth compresses toward the far end, so "queue length in metres" is wrong until the ground plane is corrected.
Output: annotated video, per-frame data, and a live dashboard — head count, throughput, walking speed, estimated wait, dwell time, density heatmap.
Airports, clinics, retail, stadiums, border checkpoints — anywhere a line costs money.
Built as a capability showcase.
Available as a deployment.
Under standard angled (oblique) cameras, 67% of detections overlap, with 41% heavily blocked—the primary cause of undercounting and switching to top-down view drops heavy overlapping, even in ultra-dense crowds.
PPE Compliance Monitoring at the Construction Site
Computer vision that watches for missing hard hats and hi-vis vests — and knows when to say something.
Your cameras are already pointed at the work, but right now, they just record. Nobody has the time to watch four separate feeds for eight hours straight, and by the time security or safety footage gets manually reviewed, the incident you wanted to prevent has already passed. Computer vision changes that completely. It turns passive video hardware into an automated, real-time observer that monitors every person in view simultaneously, continuously verifying safety essentials like hard hats and high-visibility vests across every zone without requiring a single manual walk-through.
Instead of flooding you with a stream of nuisance alerts, the software filters out noise by verifying what it sees before sending a notification. When missing gear is confirmed, you get a direct message on your phone complete with a photo, zone location, and timestamp. At the end of every shift, you get a straight, data-backed answer to a question that is usually just a guess: exactly how compliant was the site today, and where were the actual gaps?
That level of automated tracking is invaluable the morning after an incident—and it gives you definitive, queryable proof when negotiating risk and premiums with your insurer. By connecting smart model logic to your existing cameras, computer vision moves your operations from reactive surveillance to proactive protection.
Available as a deployment.
Historical Preservation Project in San Diego: Advanced 3D Modeling from Drone Footage
Mastering the art of crafting awe-inspiring 3D models from raw drone footage, our advanced techniques gracefully navigate the challenges posed by wind resistance and ever-changing environmental conditions. Leveraging photogrammetry, these meticulously generated 3D models not only ensure the preservation of our historical treasures but also unlock a world of possibilities, spanning from cultural preservation to urban planning and in-depth architectural analysis.
Cell Phone Driving Tracking with Computer Vision Integration
Patent Strategy & Drafting, with AI & Computer Vision Innovation
We offer specialized support to companies seeking patents for AI and computer vision technologies. Our services include thorough patent research, strategic guidance on intellectual property, and expert drafting of patent applications. By leveraging our deep expertise, your start-up can effectively protect its innovations, ensuring your technology stands out in the competitive landscape.
We support small businesses by providing professionally designed, custom advertisements that help them attract more customers and grow their visibility — both online and in their local communities.
Built as a capability showcase.
Available as a deployment.
SBIR DoD Grant Support - AI & Computer Vision Integration
We specialize in supporting companies applying for SBIR DoD grants by guiding them through integrating computer vision and AI into their technology. Our expertise includes advising on sensor selection, defining technical requirements, and drafting compelling proposals. With our tailored support, your start-up can confidently present a cutting-edge approach that aligns with SBIR criteria and maximizes your chances of success.
iOS App Development with Integrated Computer Vision Solutions for Small Businesses
Are you a small business owner with innovative ideas for an app or looking to streamline your processes and improve customer retention? We’re here to help! Our team specializes in creating high-quality, budget-friendly mobile applications tailored to your needs, ensuring enhanced communication and stronger connections with your customers.
Automated Inspection of UV Epoxy Curing Quality in Situ | Computer Vision Project
Enhance quality control with automated inspection using computer vision technology. Our custom solution ensures accurate assessment of UV epoxy curing quality, improving efficiency and reducing errors. Explore our computer vision project for automated inspection now.
Automated Inspection of Cable Connectors in Situ | Computer Vision Project
Improve automotive safety and performance with our computer vision project for automated inspection of faulty cable connections in the production line.
Automated Inspection of Metal Wear from Friction | Computer Vision Project
Revolutionize maintenance and boost productivity with a cutting-edge computer vision project. Detect and analyze metal wear caused by friction like never before. Advanced algorithm technology delivers precise insights, enabling proactive maintenance and slashing downtime.
Enhancing Dataset Quality for Autonomous Driving: Analyzing Occlusion, Shadow, and Low Lighting Conditions
Optimize the performance of your autonomous driving applications with our computer vision project. Our advanced analysis techniques evaluate the quality and representativeness of your dataset, specifically focusing on occlusion, shadow, and low-lighting conditions. Ensure reliable and accurate training of your AI models in challenging scenarios. Uncover the potential of computer vision to enhance your autonomous systems
Revolutionize Medical Device Resolution: Enhancing Image Clarity with Computer Vision
Experience a breakthrough in medical imaging with our computer vision project. By leveraging advanced algorithms and techniques, we significantly improve the resolution and image clarity of medical devices. Witness enhanced diagnostic capabilities, precise measurements, and improved patient outcomes.
In Situ Fabric Weave Classification: Unleashing the Power of Computer Vision
By harnessing advanced machine learning algorithms, our technology can accurately classify and evaluate the quality of fabric weaves. Detect flaws, inconsistencies, and irregularities in real-time, ensuring high standards of fabric production and meeting customer expectations.
