Computer vision retrofit
Modernizing software and computer vision solutions – bring your systems up to date
Why retrofit?
Many computer vision systems are tightly coupled to specific hardware, operating systems or outdated development environments. This often creates risks such as missing security updates, unsupported libraries and rising maintenance costs.
- Reduce risk: address outdated dependencies, security issues and vendor end-of-life
- Increase performance: leverage modern CPUs/GPUs (parallelization, GPU acceleration)
- Future-proof: 64‑bit, Unicode, modern toolchains and CI/CD-ready builds
Result: a robust, maintainable solution – without necessarily rebuilding everything from scratch.
Get started now: Contact us and share your technology stack, target platform and your most important pain points.
Retrofit deliverables
- Analysis report (dependencies, risks, migration paths, effort range)
- Ported code (e.g., Delphi/C/C++ to modern compilers, 64‑bit, Unicode)
- Library and security updates (replaced/updated components)
- Performance optimization (multithreading/OpenMP, GPU via CUDA/OpenCL, IO/memory)
- Test and validation evidence (unit/integration/regression/performance)
- Documentation & handover (build, operations, maintenance, support)
Optionally, we can also evaluate whether moving to AI-based methods or modern algorithms yields measurably better results – especially with high product variability.
Approach: from analysis to rollout
1) Analyze the existing system
- Understand the codebase: modules, dependencies, build process, critical areas
- Platform check: hardware (cameras/PCs), OS, drivers, interfaces
- Risks & bottlenecks: security, performance, stability, maintainability
2) Update toolchain & development environment
- Delphi: upgrade to current versions including Unicode standards
- C/C++: move to modern compilers (Clang/MSVC) and current language standards
- Build modernization: reproducible builds, clear dependencies, optional CI
3) Migration & 64‑bit
- Syntax/standard updates and cleanup of warnings/deprecated APIs
- 64‑bit: data types, pointer arithmetic, alignment, memory layouts
- Libraries: replace outdated components with maintained alternatives
4) Algorithm modernization & performance
- Parallelization (multithreading/OpenMP) for throughput and latency
- GPU acceleration (CUDA/OpenCL) for compute-intensive pipelines
- Modern libraries (e.g., OpenCV) where technically and licensing-wise appropriate
5) Testing, validation & acceptance
- Regression: identical results (or defined improvements) vs. the legacy system
- Performance: benchmarking on target hardware
- Stability: long-run tests, failure modes, restart/recovery
6) Rollout & operations
- Documentation: build, operations, maintenance, training
- Support model: updates, bug fixes, change management
For computer vision projects, we also recommend: feasibility study (PoC), implementation and the checklist.
FAQ
Do we have to rebuild the entire system for a retrofit?
No. The goal is incremental modernization: first toolchain/build, then migration and libraries, followed by performance and optionally algorithmic improvements.
How do you ensure the results stay the same?
Through regression tests on representative data and clearly defined acceptance criteria. If improvements are desired, we document them with measurable evidence.
Which technologies do you support?
Typical projects include Delphi and C/C++ codebases, integration of current libraries (e.g., OpenCV) and performance optimization via multithreading/OpenMP as well as GPU acceleration (CUDA/OpenCL).
Start your project: Get in touch.