🔬 Technical Deep Dives

Solving Hard
Perception Problems

From novel algorithms to production deployment—see how we architect custom CV solutions for problems that demand more than off-the-shelf tools.

✏️
Instance Segmentation

Hand-Drawn Sketch Recognition

Multi-modal AI pipeline: Mask R-CNN for sketch object detection → procedural motion synthesis → realistic video generation. Built custom training dataset from architectural sketches.

Technical Stack
Mask R-CNN PyTorch Custom Dataset Video Synthesis
94%
Recognition mAP
7
Object Classes
60fps
Output Video
"Novel approach combining instance segmentation with procedural generation for architectural visualization workflows."
🎥
Motion Analysis

Real-Time Intrusion Detection

Custom motion detection pipeline using background subtraction + optical flow fusion. Zone-based intrusion rules with temporal consistency filtering to eliminate false positives.

Technical Stack
OpenCV Background Subtraction Optical Flow C++
30fps
Real-time
1080p
Resolution
<5%
False Positive
"Excellent expert in OpenCV. Ahead of schedule, good delivery and quality."
— Javier Chico, Spain
📍
Multi-Object Tracking

Embedded Object Tracking

Optimized tracking pipeline for BeagleBone embedded system. Custom lightweight detector + Kalman filter tracking. Memory-efficient implementation for ARM Cortex-A8 constraints.

Technical Stack
OpenCV Embedded Kalman Tracking BeagleBone ARM Optimization
15fps
On BeagleBone
50MB
RAM Usage
5+
Objects/Frame
"Very knowledgeable in OpenCV. Great baseline for complicated object tracking application."
— Nimbus, Lexington, KY
🎮
Rendering Pipeline

Crowd Rendering Engine

Custom OpenGL rendering pipeline for massive crowd scenes. GPU instancing + LOD system + occlusion culling. Architectural roadmap for third-person adventure game with thousands of NPCs.

Technical Stack
OpenGL GPU Instancing C++ Crowd Simulation
5000+
NPCs Rendered
60fps
Target FPS
3x
Perf Gain
"Fixed critical rendering bottlenecks, created technical roadmap, helped build team. Regular technical check-ins kept project on track."
📱
IoT Computer Vision

Android-Raspberry Pi Vision App

Full-stack CV application: Android UI + RPi image processing backend. Custom camera calibration, real-time image streaming protocol, embedded CV pipeline. End-to-end system architecture.

Technical Stack
Android NDK Raspberry Pi OpenCV Custom Protocol
720p
Stream Quality
<100ms
Latency
5/5
Client Rating
"Exceeded our best expectations. One of the few like Dhakma able to provide this level of development."
— Manny Hernandez, President, The Kipsen Company, CA
Performance Engineering

C++ Server Optimization

Deep performance debugging of video processing server. Profiling revealed memory allocation bottleneck + thread contention. Redesigned processing pipeline with zero-copy buffers and lock-free queues.

Technical Stack
C++17 Valgrind Lock-free Queues Zero-copy Buffers
8x
Throughput Gain
1st
Team to Fix
-70%
Memory Usage
"First team to correctly identify, resolve and prove it was fixed. Very happy with their expertise."
— Mark Lichma, CEO, MDi Touch, CA

Technical Impact Across Projects

50+
CV Pipelines Built
94%
Avg Detection mAP
30fps+
Real-time Systems
10x
Avg Optimization Gain

Got a Hard CV Problem?

Let's discuss your perception challenge and architect a custom solution—not just implement existing tools.