GITNUXSOFTWARE ADVICE
SecurityTop 10 Best Biometric Capture Software of 2026
Top 10 biometric capture software ranked with evaluation criteria, tradeoffs, and tool notes for teams comparing Cognitec, FaceTec, and Daon.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Cognitec is the strongest choice for high-throughput identity programs that need capture-to-template automation with strict quality gates, while FaceTec is the better pick when you must standardize 3D face capture and liveness controls across many devices via an API.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Cognitec
Capture quality metrics feed into acceptance decisions during the capture-to-template pipeline.
Built for fits when identity programs need high-throughput capture-to-template automation with strict quality gates..
FaceTec
Editor pickCapture policy configuration that ties liveness and quality decisions to enrollment-ready acceptance outcomes.
Built for fits when facial capture standardization and liveness controls must be enforced across many capture devices..
Daon
Editor pickQuality-gated capture outputs that drive automated enrollment and verification decisions across sessions.
Built for fits when enrollment and verification teams need consistent capture quality controls across varied devices..
Comparison Table
Cognitec
enterpriseFace recognition and biometric capture software for video and photo.
Capture quality metrics feed into acceptance decisions during the capture-to-template pipeline.
Cognitec is used when identity capture requires consistent outputs from varied imaging conditions, since capture quality evaluation and template generation are part of the typical workflow. The stack supports biometric enrollment and verification integration paths used by onboarding, check-in, and access programs. Integration is geared toward SDK embedding and automation so downstream systems can request capture and receive normalized results. Governance is supported through configuration controls that keep capture behavior consistent across deployments.
A tradeoff appears in operational complexity, since reliable performance depends on tuning capture parameters and aligning device setup with the expected imaging conditions. Cognitec fits environments where throughput matters and document-driven onboarding uses a controlled capture process. Usage is strongest when teams can standardize device placement, lighting, and capture timing so the quality gates do not reject valid subjects.
- +Capture quality evaluation supports consistent enrollment outcomes
- +SDK-oriented integration enables automated capture workflows
- +Document-centric pipeline reduces rework in downstream onboarding
- +Configuration controls help keep capture behavior repeatable
- –Performance depends on device setup and parameter tuning
- –Workflow configuration can be complex for first-time integrations
- –High throughput testing is needed to validate acceptance rates
- –Tight capture guidance can reduce flexibility for ad hoc setups
Identity onboarding engineering
Automate enrollment with quality gates
Fewer enrollment failures
Government ID operations
Standardize capture across sites
More uniform case processing
Show 1 more scenario
Enterprise access program
Integrate capture into check-in
Faster queue completion
Embeds capture and template generation into an automated workflow that reduces manual re-entry work.
Best for: Fits when identity programs need high-throughput capture-to-template automation with strict quality gates.
FaceTec
API-first3D face biometric capture SDK with liveness detection.
Capture policy configuration that ties liveness and quality decisions to enrollment-ready acceptance outcomes.
FaceTec is best evaluated on integration depth for facial capture pipelines that need repeatable acceptance criteria, since it focuses on capture-side quality decisions and liveness outcomes used during enrollment and verification. The SDK surface supports application-driven capture flows and returns capture results that can be fed into an orchestration layer for throughput and consistency. Admin controls typically show up as policy configuration for thresholds and capture rules, which reduces variability across capture stations.
A concrete tradeoff is that FaceTec’s strengths concentrate on facial capture, so multimodal identity strategies that require fingerprint or iris capture may need separate device stacks. It fits situations where teams must standardize capture behavior across many client devices and still maintain auditable outcomes for each capture attempt. For deployments with mixed lighting and varied user behavior, capture quality gating helps reduce downstream matching failures.
- +Strong liveness and capture-quality gating for consistent enrollment outcomes
- +SDK-driven capture flows support application-level orchestration and policy enforcement
- +Capture results map cleanly into downstream biometric template workflows
- +Configurable capture policies reduce device-to-device variability
- –Primarily facial capture limits multimodal deployment reuse
- –Tuning capture thresholds requires engineering time across real-world device conditions
- –Integration depends on aligning client capture flow with server-side processing
Identity verification engineering teams
Mobile onboarding with liveness enforcement
Higher pass rates, fewer re-captures
Risk and fraud operations
Attack-resistant remote identity proofing
Lower spoof-driven fraud events
Show 2 more scenarios
System integrators
Integrate into existing verification stack
Faster end-to-end verification pipeline
Integrators wire capture results and template outputs into a matching and decisioning pipeline.
Compliance and platform governance
Audit-friendly capture controls
Clearer biometric intake accountability
Governance teams configure consistent intake policies and use capture attempt outcomes for review.
Best for: Fits when facial capture standardization and liveness controls must be enforced across many capture devices.
Daon
enterpriseBiometric authentication and capture platform for enterprises.
Quality-gated capture outputs that drive automated enrollment and verification decisions across sessions.
Daon targets identity and access use cases where capture quality gates and spoof resistance need consistent handling across sessions. Core capabilities include capture result evaluation, biometric template extraction, and integration into broader verification pipelines. Daon also supports SDK-based integration paths that can fit both mobile capture and server-side processing models.
A tradeoff is that getting stable capture outcomes often requires careful configuration of device adapters, quality thresholds, and document-to-biometric workflow timing. Daon fits situations like call-center onboarding or branch enrollment where capture devices vary and administrators need repeatable quality enforcement across staff and locations.
- +Configurable capture quality outcomes for enrollment and verification flows
- +Integration-oriented SDK options for biometric capture and template handoff
- +Support for multimodal capture workflows with consistent processing stages
- +Operational logging that maps capture results to downstream decisions
- –Threshold tuning can be time-consuming across mixed capture devices
- –Workflow orchestration needs deliberate implementation for queue-based systems
- –Depth of configuration reduces speed for teams without integration staff
- –Device coverage may require adapter work for uncommon camera hardware
Bank onboarding teams
Branch enrollment with device variability
Higher enrollment success rate
Identity verification engineers
Multimodal capture pipeline integration
Fewer integration mismatches
Show 2 more scenarios
Compliance and risk teams
Audit-ready capture operation tracking
Clear operational accountability
Provides capture outcome visibility that supports internal controls over biometric processing.
Contact-center operations
Remote capture with quality gating
Lower manual handling
Enforces capture checks to reduce rework during remote onboarding sessions.
Best for: Fits when enrollment and verification teams need consistent capture quality controls across varied devices.
Neurotechnology
enterpriseBiometric SDKs for fingerprint, face, iris, and voice capture and matching.
Capture quality feedback and acceptance gating that improves enrollment stability before templates are generated.
Neurotechnology focuses on biometric capture and matching components for production deployments, with emphasis on consistent sensor input handling across devices. Its software workstreams cover capture quality assessment, presentation attack detection support, and template extraction aligned to common interchange formats.
Integration is driven through SDK integration patterns and Biometric application integration interfaces for enrollment, verification, and identification workflows. The result targets high-throughput capture flows where administrators need repeatable configuration and predictable processing behavior.
- +Capture pipeline includes quality checks that reduce unusable samples
- +Supports liveness and spoof detection workflows for enrollment and verification
- +Template extraction supports biometric data interchange for downstream systems
- +SDK integration patterns fit server-side and edge-style deployments
- –Achieving consistent quality requires careful capture configuration and tuning
- –Multimodal adoption effort depends on device support and modality setup
Best for: Fits when biometric capture needs tight sensor handling, quality gating, and repeatable SDK-driven workflows.
IDEMIA
enterpriseBiometric capture, matching, and identity management for governments and enterprises.
Capture-quality gating with configurable acceptance criteria designed to reduce low-quality enrollments.
IDEMIA provides biometric capture software focused on turning raw sensor input into standardized biometric templates for downstream identity systems. The capture workflow supports fingerprint, face, and other modalities with device abstraction so multiple camera or sensor types can feed the same enrollment and verification pipeline. IDEMIA also provides integration paths that fit enterprise deployment shapes, including SDK-style embedding and server-side processing options tied to accuracy and capture-quality controls.
- +Multi-modality capture workflow supports fingerprint and face pipelines
- +Capture-quality controls help manage throughput and reduce re-enrollment loops
- +Integration options support on-prem and server-side processing patterns
- +Fingerprint template output aligns with common interchange expectations
- –Integration effort can be high when adding new device models and drivers
- –Liveness behavior and tuning can require detailed validation per use case
- –Admin tooling depth depends on how enrollment and verification are assembled
- –Advanced automation often needs vendor-supported implementation work
Best for: Fits when large identity programs need consistent biometric capture across device types and modalities.
Aware
enterpriseBiometric capture, matching, and workflow software for enterprise and government.
Quality-gated capture behavior that blocks low-quality captures and routes retries before template handoff.
Aware focuses on biometric capture workflows that feed enrollment and downstream verification systems, with device-level capture support for multiple modalities. It is distinct for its attention to capture quality signals and configurable capture behavior that reduce manual rework during fast ID intake.
Core capabilities include SDK-based capture integration, biometric template generation, and quality checks tied to liveness and presentation attack inputs. The product is designed to fit deployments that need high throughput capture plus operational controls around device usage and capture sessions.
- +Capture quality metrics drive pass fail decisions before template extraction
- +SDK integration supports multimodal enrollment workflows from a single capture app
- +Configurable capture rules reduce exception handling in fast ID lanes
- +Extensible device abstraction helps standardize capture across hardware models
- –Onboarding requires more integration work than UI-only capture tools
- –Advanced governance features depend on how the capture client is deployed and managed
- –Some edge deployment scenarios rely on device capabilities and installer packaging
- –Template output formats may require mapping to existing middleware schemas
Best for: Fits when ID programs need SDK-driven capture, quality gating, and reliable enrollment handoff to existing verification stacks.
Jumio
enterpriseIdentity verification with biometric face capture and liveness detection.
Session-based capture and quality gating designed to keep biometric artifacts consistent across high-volume onboarding flows.
Jumio differentiates with an enterprise focus on identity verification workflows that pair biometric capture with document and risk signals. It supports SDK integration for facial capture and uses backend processing to extract biometric artifacts for downstream verification.
Capture quality is governed through configurable checks that aim to standardize presentation conditions across sessions. The integration model is built for high-throughput onboarding flows that need predictable API behavior and session-level control.
- +SDK-driven capture flow supports predictable session orchestration
- +Backend artifact extraction reduces custom biometric preprocessing work
- +Configurable quality and fraud checks support consistent onboarding standards
- +Clear integration pattern for linking capture events to verification steps
- –Biometric capture depth is narrower than full multi-modality middleware stacks
- –Tuning capture thresholds requires governance discipline across devices and channels
Best for: Fits when identity onboarding needs biometric capture plus risk signals with tight integration control.
IDnow
enterpriseIdentity verification platform with biometric face capture and video.
Governed identity workflow orchestration that ties biometric capture sessions to administration and auditability.
IDnow pairs biometric capture with identity workflows for use cases that need governed enrollment and verification, including document and video-based processes. Its capture stack supports SDK integration paths and capture-device abstraction that help normalize biometric collection across environments.
Admin controls support operational governance such as tenant-level configuration, role-based access, and traceability via audit records. For organizations that need automation around biometric sessions, IDnow’s API surface supports provisioning and event-driven integration.
- +Biometric capture integrated into end-to-end identity workflows
- +SDK integration paths that support multi-environment deployment
- +Tenant configuration and governed access control for operations
- +API surface supports enrollment and verification automation
- –Fewer details on modality-specific tuning like FAR and FRR thresholds
- –Integration depth can require more engineering effort than capture-only tools
Best for: Fits when identity verification teams need governed biometric capture plus workflow automation via API.
Veridium
enterpriseBiometric authentication and capture platform for passwordless access.
Capture quality controls that enforce acceptance criteria across enrollment and verification sessions.
Veridium provides biometric capture and matching software for ID verification workflows, with components designed for capture-to-template pipelines. The offering focuses on liveness and capture quality controls that support consistent enrollment and verification outcomes.
Veridium also supports multimodal capture including facial and identity documents in end-to-end check flows, with integration paths for embedding capture engines into host applications. Administration is oriented around workflow configuration for deployments that need repeatable capture behavior across many locations.
- +Strong liveness coverage tuned for high-variance capture conditions
- +Capture quality gating helps prevent enrollment and verification failures
- +Integration options for embedding capture and verification into host systems
- +Workflow configuration supports consistent checks across multiple locations
- –Integration depth can be high when aligning capture, formats, and match settings
- –Admin controls are less granular than platforms built for per-field governance
Best for: Fits when enterprises need consistent, policy-driven biometric capture for ID checks across many sites.
BIO-key
enterpriseFingerprint biometric capture and authentication software.
Enrollment policy enforcement that ties capture quality results to biometric template creation, reducing low-usable enrollments.
BIO-key is biometric capture software aimed at identity enrollment and verification workflows in regulated environments. BIO-key supports fingerprint capture and facial capture paths and focuses on turning raw sensor output into matchable biometric templates with capture-quality controls.
The system’s admin tooling centers on identity record management, enrollment policies, and operational monitoring for capture sessions. Integration work typically centers on BIO-key SDK integration and middleware-style orchestration between capture devices, biometric processing, and identity stores.
- +Designed for fingerprint and facial capture workflows with template extraction
- +Enrollment policy controls help standardize capture quality before matching
- +Admin tooling supports identity record management and capture-session operations
- +Integration approach fits SDK-based deployments with external identity systems
- –Face workflows need tighter workflow mapping than single-modality deployments
- –Capture quality outcomes can require operator training to meet thresholds
- –Integration depth depends on how capture devices are abstracted in the project
- –Advanced governance and audit reporting require deliberate system configuration
Best for: Fits when identity programs need fingerprint-first or multimodal capture with policy-driven enrollment.
Conclusion
After evaluating 10 security, Cognitec stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right biometric capture software
Biometric capture software orchestrates sensor capture, biometric quality checks, and template handoff so enrollment and verification teams can standardize outputs across devices and sessions. This guide covers Cognitec, FaceTec, Daon, Neurotechnology, IDEMIA, Aware, Jumio, IDnow, Veridium, and BIO-key based on capture-to-template gating, integration paths, and workflow control.
The strongest options treat capture quality as a decision input, not just a metric. Cognitec, for example, feeds capture quality metrics into acceptance decisions in the capture-to-template pipeline, while FaceTec ties capture policy configuration to liveness and enrollment-ready outcomes.
Biometric capture software for capture-to-template quality gating and policy-driven enrollment readiness
Biometric capture software manages the end of the pipeline that starts at a camera, fingerprint reader, or other sensor and ends when the system produces capture-ready artifacts for downstream matching. In practice, it handles session orchestration, capture quality evaluation, and configurable acceptance rules before templates are created or released.
Cognitec distinguishes its workflow by turning capture quality metrics into pass fail acceptance decisions during capture-to-template processing. FaceTec focuses on capture policy configuration that binds liveness and quality gates to outcomes intended to support consistent, enrollment-ready acceptance across many capture devices.
Capture-quality gating, policy control, and integration depth
Biometric capture software determines enrollment and verification outcomes through capture-quality evaluation and policy gates that decide whether a session produces usable templates. This is the core mechanism behind consistent acceptance decisions, because a low-quality sample can either trigger retries or fail fast before template handoff.
The tools in this category also diverge in how they expose automation and integration surfaces for capture orchestration, including SDK-driven capture flows and governed workflow APIs. The strongest deployments treat capture quality as an input to system behavior, not a post-processing metric.
Capture-quality metrics that drive acceptance decisions
Cognitec feeds capture quality metrics into acceptance decisions during the capture-to-template pipeline to keep enrollment outcomes consistent. Veridium also uses capture quality controls to enforce acceptance criteria across enrollment and verification sessions.
Capture policy configuration tied to liveness and enrollment readiness
FaceTec ties liveness and capture-quality decisions to enrollment-ready acceptance outcomes through capture policy configuration. Neurotechnology adds capture quality feedback and acceptance gating that stabilizes enrollment before templates are generated.
SDK-oriented orchestration that fits application workflows
Daon provides integration-oriented SDK options that support configurable capture quality outcomes for enrollment and verification flows. Jumio supplies an SDK-driven capture flow that supports predictable session orchestration for high-volume onboarding.
Quality gates that block low-quality samples before template extraction
Aware routes retries before template handoff by blocking low-quality captures using capture quality metrics. BIO-key enforces enrollment policy so capture quality results flow into biometric template creation and reduce low-usable enrollments.
Governed capture sessions with administration and auditability
IDnow focuses on governed identity workflow orchestration that ties biometric capture sessions to administration and auditability. Aware also supports governance-oriented behavior, but it depends on how the capture client is deployed and managed.
Multi-modality workflow coverage for fingerprint and face pipelines
IDEMIA includes multi-modality capture workflow support that spans fingerprint and face pipelines for large identity programs. Neurotechnology supports liveness and spoof detection workflows for enrollment and verification, which matters when capture devices vary by sensor and channel.
Choose by capture-to-template decision points and operational control
Start by mapping where decisions must happen in the capture-to-template pipeline. Some platforms convert capture quality into pass fail acceptance in the pipeline itself, while others push configuration into policy layers that determine liveness and enrollment readiness.
Then evaluate how capture is orchestrated across devices, sites, and environments. The right choice depends on whether governance is required at the session orchestration layer through workflow APIs or at the capture client layer through SDK behavior and configuration.
Decide where acceptance gates must run
If acceptance must be decided during capture-to-template processing, Cognitec turns capture quality metrics into acceptance decisions. If acceptance must be expressed as enrollment-ready outcomes tied to liveness and quality policy, FaceTec configures capture policy that links those decisions.
Match the tool to the modality scope you need
If fingerprint and face pipelines must be covered with multi-modality workflow support, IDEMIA supports both modality paths. If facial capture needs standardized liveness and enrollment readiness across many capture devices, FaceTec aligns to that facial focus.
Pick an orchestration model based on session control and workflow timing
If the application must control session orchestration using an SDK-driven capture flow, Jumio supports predictable session orchestration and backend artifact extraction. If enrollment and verification teams need quality-gated capture outputs across varied devices with deliberate workflow orchestration, Daon supports queue-oriented orchestration patterns.
Plan for threshold tuning time and device variance before committing
If deployment will mix device models and real-world capture conditions, expect threshold tuning effort in tools like Daon and Neurotechnology due to mixed capture environments. If governance discipline will be required across devices and channels for session-based gating, Jumio’s capture threshold tuning needs planned configuration.
Choose the governance depth based on administration and audit needs
If biometric capture must be tied into governed identity workflow orchestration with administration and auditability, IDnow provides governed orchestration and API-driven automation. If governance must live in the capture client behavior, Aware blocks low-quality captures and routes retries before template handoff, which shifts responsibility to client deployment management.
Validate that multimodal reuse and device support match deployment reality
If multimodal reuse across modality-specific deployments is required, verify that the selected tool supports the modality breadth without heavy workflow remapping, since FaceTec is primarily facial and can limit multimodal reuse. If sensor handling and quality feedback are required to improve enrollment stability, Neurotechnology’s pipeline includes quality checks that reduce unusable samples.
Who benefits from biometric capture software with quality gates and policy control
Teams that run identity programs need biometric capture software that prevents low-quality samples from becoming enrollments. This reduces re-enrollment loops and makes downstream verification results more predictable.
Engineering and operations teams also need integration depth because capture must run inside onboarding apps and enterprise workflows. The tools in this list support either SDK-driven capture orchestration or governed workflow automation through API surfaces.
Identity programs that require strict quality gates for enrollment outcomes
Cognitec and Veridium tie capture quality to acceptance criteria in the capture-to-template pipeline, which reduces unusable enrollments. These products are built for consistent enrollment behavior when devices and channels vary.
Organizations standardizing facial enrollment across many capture devices
FaceTec configures capture policy so liveness and quality decisions produce enrollment-ready acceptance outcomes across devices. This is designed for operational consistency in facial capture standardization.
Verification and enrollment teams that need quality-controlled outputs across varied devices
Daon provides configurable capture quality outcomes that drive automated enrollment and verification decisions across sessions. Neurotechnology also improves enrollment stability using quality checks before templates are generated.
Enterprises that require governed workflow orchestration and auditability
IDnow integrates biometric capture into end-to-end identity workflows with governed session orchestration and administration support. This fits teams that treat capture as an auditable process within identity operations.
Deployments that must support both fingerprint and face pipelines
IDEMIA supports multi-modality capture workflow for fingerprint and face pipelines used in large identity programs. This helps reduce the need to stitch separate capture systems for different modalities.
Common failure modes in biometric capture software deployments
Many capture deployments fail when capture quality gating and policy decisions are treated as optional configuration rather than a controlled decision point. Other failures happen when integration models are underestimated, especially when SDK orchestration or threshold tuning is needed across real devices and channels.
The sections below map specific mistakes to concrete controls offered by the listed tools.
Treating capture quality as a report instead of a gate that blocks template handoff
Aware blocks low-quality captures and routes retries before template handoff, which prevents unusable samples from entering downstream processing. Cognitec and Veridium also convert capture quality into acceptance decisions rather than leaving it as a passive metric.
Skipping threshold tuning and validation across real device conditions
Daon notes that threshold tuning can be time-consuming across mixed capture devices, so planning tuning cycles avoids inconsistent outcomes. Neurotechnology similarly requires careful capture configuration and tuning to achieve consistent quality across sensors.
Assuming one capture configuration will reuse cleanly across modalities
FaceTec is primarily facial capture, so multimodal deployment reuse is limited and can require engineering work. IDEMIA supports multi-modality capture workflows, which reduces the need for modality-specific workflow rebuilds.
Choosing an orchestration model that does not match how sessions must be managed
Jumio is session-based and expects governance discipline across devices and channels, so capture thresholds must be administered consistently. Daon’s workflow orchestration needs deliberate implementation for queue-based systems, so verify operational fit before deployment.
Underestimating integration and governance effort at onboarding scale
Cognitec’s performance depends on device setup and parameter tuning, so the integration plan must include sensor validation. IDnow can require more engineering effort than capture-only tools because integration depth supports governed workflow automation and auditability.
How We Selected and Ranked These Tools
We evaluated biometric capture software on capture-quality decision behavior, where Cognitec stood out by feeding capture quality metrics into acceptance decisions during capture-to-template processing. Features accounted for 40% of the ranking because the strongest tools provide gating that ties capture output to enrollment-ready acceptance and liveness outcomes.
Ease of use and value each accounted for 30% of the ranking based on how the tools support SDK-driven capture flows, workflow orchestration, and the operational effort required for configuration and tuning. Cognitec also ranked highest for integration-oriented capture quality evaluation because it supports high-throughput capture-to-template automation with strict quality gates.
Frequently Asked Questions About biometric capture software
How do AwareID MobileID, Cognitec, and FaceTec differ in capture-to-template processing workflows?
Which tools provide SDK integration for client capture plus server-side processing for enrollment readiness?
When should an identity program use ZKTeco versus Cognitec for high-throughput capture operations?
What breaks if liveness and presentation attack handling are configured differently across locations?
How do admin controls and audit logging differ between IDnow and FaceTec?
How is data migration handled when switching biometric capture stacks from one vendor to another?
Which tools are stronger for device abstraction when multiple sensors feed the same enrollment pipeline?
Where does AwareID MobileID fall short compared with tools focused on document-centric capture pipelines?
How should teams plan extensibility when adding new capture modalities or automation hooks?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
- Top 10 Best Biometrics Fingerprint Software of 2026
- Top 10 Best Biometric System Software of 2026
- Top 10 Best Biometric Security Software of 2026
- Top 10 Best Biometric Scanner Software of 2026
- Top 10 Best Biometric Reader Software of 2026
- Top 10 Best Biometric Identification Software of 2026
- Top 10 Best Biometric Fingerprint Scanner Software of 2026
- Top 10 Best Biometric Fingerprint Reader Software of 2026
- Top 10 Best Biometric Facial Recognition Software of 2026
- Top 10 Best Biometric Face Recognition Software of 2026
- Top 10 Best Biometric Data Capture Software of 2026
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- Top 10 Best Biometric Access Control Software of 2026
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